Clustering

Cluster analysis (44)
Clustering (149)

Synopsis: Ict: Data: Data mining: Clustering: Clustering:

and Pontieri (2012) propose a predictive clustering approach in which context-related execution scenarios are discovered

•Clustering: In a clustering step the different individual models are grouped in a way such that models within one group are similar

and models belonging to different groups are different. Here, typical techniques of cluster analysis or multivariate statistics can be used.

In a first step, clustering techniques are used to identify and reconstruct the given model groups. Since the model repository consists of 80 single models with 8 different processes and 10 variants each,

Due to the clustering of process instances this person can work fulltime as a Process Manager and the profession-alism (i e.,

/modeling, 13,60, 63†66,78, 108, 177†189,225, 263†268, 270†272,287 clustering, 161†162,170 collection, 170,216 corpus, 171 harmonization, 164

Entrepreneurial Networks & Mentoring 49 6. Access to Markets 50 6. 1 First time Exporters 50 6. 2 Clustering Programme 51 6. 3 Public

and awareness events and are supported in the development of a market plan for their priority target market. 6. 2 Clustering Programme Enterprise Ireland†s pilot clustering programme was established in 2012 to encourage groups of businesses to collaborate to achieve specific business objectives,

EI) 143 Build on Phase One of the Pilot Industry-led clustering initiative involving fifty companies by implementing the recommendations of the clustering Review carried out in 2014.

by further developing instruments that allow for aggregation of local initiatives, such as clustering, to really unlock the potential of innovative SMES.

such as clustering, to unlock the potential of innovative SMES. This constraint reflects a more general situation,

by further developing instruments that allow for aggregation of local initiatives, such as clustering, to really unlock the potential of innovative SMES. 2. 2. 2 A coordinated,

G#3v 7784 Clustering G#4v 7785 Cluster analysis 0#5#cluster analysis Cluster analysis G#4v 7786 Clustering

0#5#clustering Clustering G#3v 7787 Data mining 0#4#data mining Data mining G#3v 7788 Information mining

0#4#information mining Information mining G#3v 7789 Text mining 0#4#text mining Text mining G#3v 7790 Web mining

overview consists of a clustering of the funded CAPS projects under 14 emerging categories. The clustering is based on available public documents of CAPS projects and on

the knowledge available among the authors, who are also part of the CAPS community. It has to be noted that CAPS projects are still in the early stage of development, therefore a

This clustering considers the main 'innovations'produced by the projects. More comprehensive outputs of each project

overview consists of a clustering of the funded CAPS projects under 14 emerging categories. The clustering is based on available public documents of CAPS projects and on

the knowledge available among the authors, who are also part of the CAPS community. It has to be noted that CAPS projects are still in the early stage of development, therefore a

This clustering considers the main 'innovations'produced by the projects. More comprehensive outputs of each project

-matic clustering of DSI organisations is emerging, grouping activities into 6 macro clusters that capture the way

In detail, there is a clustering coefficient of. 887, signalling a fairly high density of interconnections in existing communities (Latapy, 2008.

to interpret a clustering coefficient is that it is the measurement of how likely it is that the organisations

to date, a provisional thematic clustering of DSI organisations is emerging, grouping activities into 5 macro

New clustering and categories will then emerge from the empirical data Within each community, there will be certain organisations that have a high centrality, the â€oemovers and

to date, a provisional thematic clustering of DSI organisations is emerging, grouping activities into 5 macro

New clustering and categories will then emerge from the empirical data Within each community, there will be certain organisations that have a high centrality, the â€oemovers and

Clustering is particularly important to gain access to new ideas and tacit knowledge especially in young industries

â'Clustering. Groups of enterprises working in the same product are seedbeds for the exchange of new ideas.

In a clustering strategy, firms take advantage of linkages with other enterprises afforded by geographic proximity,

Prevenzer, Martha, 1997, †The Dynamics of Industrial Clustering in Biotechnology, †Small Business Economics, 9 (3), 255-271

Investigation of clustering impact to SMES€ innovation in Indonesia. Paper presented at the 2nd International Conference on International Business (ICIB

Firm clustering and innovation: Determinants and effects. Papers in Regional Science, 80,337-356 PÃ rez-Luã o, A.,Wiklund, J,

Clustering and Industrialization: Introduction. World Development, 27 (9), 1503-1514 Schoales, J. 2006. Alpha Clusters:

Innovation and Clustering in the Globalised International Economy. Urban Studies, 41 (5/6), 1095-1112

RETA expresses the more widely held belief that clustering of high technology firms, described as Andalusia†s †closeness†model is the most effective means of offering

For example, the policy of encouraging clustering of SMES in technology parks and industrial estates is informed by recent research that highlights the importance of encouraging proximity

clustering and co-presence of firms (as we have shown) is not in itself, sufficient to encourage higher

instruments for the promotion of business modernisation, the underlying rationale being that clustering of technology-intensive firms enhances their growth and expansion.

Business clustering has brought significant advantages for smaller firms especially because of knowledge spillovers from one firm to another or from institutions to firms.

While regional or national clustering has certainly its merits and can be an important driver for advance in nanotechnology, a too strong national focus may understate

Clustering can be viewed from three angles: production locations, research activity and investments indicating future (production) location.

also to local and national governmental initiatives that promote regional clustering activities Sydow et al. 2007

Nordicity Group (2006), Regional/local industrial clustering: Lessons from abroad, Ottawa: National Research Council Canada

 clustering  manifests  itself  in  cities  and  towns  across

 clustering  the  university  and  business  enterprise  may  be

and sectoral diversity and/or clustering Skills & Education an analysis of the skills, educational attainment and education resources

and sectoral diversity and/or clustering Skills & Education an analysis of the skills, educational attainment and education resources

-matic clustering of DSI organisations is emerging, grouping activities into 6 macro clusters that capture the way

regional clustering, analysing in some detail how initial conditions within a region are reinforced, what triggered cluster processes and how innovative clusters of firms

thus introducing an interaction-based clustering proc -ess (Wolter 2004) 9. Initially, high-tech industries and clusters need triggers to set them

-9 Wolter (2004) distinguishes two dominant explanations for clustering tendencies, namely resource-based ones, emphasizing the access to resources,

and spatial clustering allows firms to realise and draw on knowledge spillovers. With this classification, we aim at capturing the

-sult of clustering tendencies 5. 3. Unsolved Questions in Regional RTD All this poses additional challenges to be taken into account by policy-makers.

Territorial Clustering and High-technology Innovation: From Industrial Districts to In -novative Milieux. ESRC Centre for Business Research working paper 54, University of Cambridge

-based theory of spatial clustering. Environment and Planning A 34,429-449 Malmberg, A.,Ã. SÃ lvell and I. Zander (1996:

Spatial Clustering, Local Accumulation of Knowledge and Firm Competitiveness. Geografiska Annaler, 78 B (2), 85-97

Knowledge-based industrial clustering: International comparisons. In: J. de la Mothe and G. Paquet (eds.:

High-tech industry clustering rationales: the case of German biotechnology. In P. Cooke and A. Piccaluga (eds.:

We combine this technique with the clustering analysis Cluster analysis: is advanced an data analysis technique useful to group cases

clustering analysis. With this type of analysis we use the clustering data analysis technique to group the different transport

In the following table we have the clustering algorithm results for the variable â€oepercentage of employees that have internet access at their workplaceâ€.

Clustering is particularly important to gain access to new ideas and tacit knowledge especially in young industries

â'Clustering. Groups of enterprises working in the same product are seedbeds for the exchange of new ideas.

In a clustering strategy, firms take advantage of linkages with other enterprises afforded by geographic proximity,

Prevenzer, Martha, 1997, †The Dynamics of Industrial Clustering in Biotechnology, †Small Business Economics, 9 (3), 255-271

The clustering I chose for the parameters in the intended model is based on the understanding that the parameters in each subset are interconnected closely.

Clustering physical infrastructure requirements to facilitate growth and internationalisation (§3. 2. 5 Medium Cluster policies SMART+SMESGONET Clustering management activities supporting the

internationalisation and R&d cooperation (§3. 2. 5 Medium Cluster internationalisation DISTRICT+Cluster and Foreign

spatial clustering of innovation activities) makes regional responses to R&d globalisation naturally appropriate. Indeed there has been a trend over the past decades to devolve competences for innovation

•Further Investigation of Clustering •Part-time Innovation drivers •Development of more Innovation Centres

The traditional clustering of firms per type of material has been replaced by clustering around market demand

Table 1: survey sample per subsector and firm size (turn over Firm-size W ood Pottery

became part of a larger clustering of firms and the speed of innovation became even faster (Resp

The importance of clustering in economic development has changed radically the past decades for various reasons.

In this study clustering correlates significantly and negatively with innovation. The relationship is linear (Î=0. 017, Î=-0. 476, r2=0. 0489.

controlled for absorptive capacity and position in value chain, then poverty-driven clustering no longer has a significant impact on innovation et al (see next section.

other studies in Indonesia where clustering has no significant impact either IHS Working Paper 27.2013.

Promoting small and medium entreprises with a clustering approach: A policy experience from indonesia. Journal of Small Busines Management 43 (2): 138-54

clustering and further reduction of the recommendations. As the framework for clustering the recommendations in key areas of policy actions, the CCR multidimensional concept was used

A national clustering policy is essential to provide support and structure to cluster development. Additionally, there is a requirement for policies to ensure the creation of the type of

development and the regional benefits of clustering •To carry out the necessary prioritisation research and analysis in the Midwest Region to identify

-matic clustering of DSI organisations is emerging, grouping activities into 6 macro clusters that capture the way

in the clustering. In general, PCA reduces the risk that single indicators dominate a cluster solution,

weighted more heavily in the clustering and thus dominate the cluster solution (Hair et al.,

clustering methods Applied Psychological Measurement 11,329-354 Milligan, G. W.,Sokol, L. M.,1980. A two-stage clustering algorithm with robust

relatively more medium-sized companies, the clustering implicitly suggests a sequence in the adoption of open

relatively more medium-sized companies, the clustering implicitly suggests a sequence in the adoption of open

Diversification and clustering of SMES for future growth...74 5. 5 Israel: Envisaged targeted support for high-growth sectors and SMES...

clustering of SME business activities. Diversifica -tion policy initiatives focus on supporting SMES to move (1) up the technology ladder,(2) between

issues of human capital, access to specialised technology and business consulting, R&d clustering technology scouting to identify R&d projects with commercial potential, technology transfer, and an

The relationship between internationalisation and clustering may be of particular interest, since local clusters are seen often as breeding grounds for innovation.

-pean and national level. 126 One could assume that clustering and internationalisation mutually reinforce each

clusters and the relationship between clustering and internationalisation cannot be dealt with in depth in this Policy Brief, this finding strongly points to the importance of internationalisation for innovation

-tween clustering and internationalisation; see http://www. proinno-europe. eu/tactics 128 Dahl Fitjar/Rodrã guez-Pose (2011), p. 5

and clustering of SME business activities. Diversification policy initiatives focus, among other items, on sup -porting SMES to move between industries (new business activities in related industries) â€

Diversification and clustering of SMES for future growth Summary Although the fall out from the 2008 Lehman brothers collapse continues to skew the Japa

diversification and clustering of SME business activities. Diversification policy initiatives focus on supporting SMES to move (1) up the technology ladder (product development),

Clustering policy initiatives focus on promoting (1) local clusters, such as regional linkages among small and medium manufacturers, and (2) network

and clustering policy initiatives, the government†s 2009 New Growth Strategy (Basic Policies Toward a Radiant Japan identifies SMES as an engine for future high economic growth

Diversification and clustering of SMES for future growth...74 5. 5 Israel: Envisaged targeted support for high-growth sectors and SMES...

clustering of SME business activities. Diversifica -tion policy initiatives focus on supporting SMES to move (1) up the technology ladder,(2) between

issues of human capital, access to specialised technology and business consulting, R&d clustering technology scouting to identify R&d projects with commercial potential, technology transfer, and an

The relationship between internationalisation and clustering may be of particular interest, since local clusters are seen often as breeding grounds for innovation.

-pean and national level. 126 One could assume that clustering and internationalisation mutually reinforce each

clusters and the relationship between clustering and internationalisation cannot be dealt with in depth in this Policy Brief, this finding strongly points to the importance of internationalisation for innovation

-tween clustering and internationalisation; see http://www. proinno-europe. eu/tactics 128 Dahl Fitjar/Rodrã guez-Pose (2011), p. 5

and clustering of SME business activities. Diversification policy initiatives focus, among other items, on sup -porting SMES to move between industries (new business activities in related industries) â€

Diversification and clustering of SMES for future growth Summary Although the fall out from the 2008 Lehman brothers collapse continues to skew the Japa

diversification and clustering of SME business activities. Diversification policy initiatives focus on supporting SMES to move (1) up the technology ladder (product development),

Clustering policy initiatives focus on promoting (1) local clusters, such as regional linkages among small and medium manufacturers, and (2) network

and clustering policy initiatives, the government†s 2009 New Growth Strategy (Basic Policies Toward a Radiant Japan identifies SMES as an engine for future high economic growth

clustering of businesses and firms, including those involved in interrelated activities and in high growth

) Nine indicative locations in the Southeast Region have been identified with potential for clustering by the Marine Institute in its report †Development Strategy for Marine and Leisure Infrastructure†and the relevant

The need for clustering of potential customers of information technology infrastructure to provide a basis on

and clustering to achieve benefits of scale will increase regional research competitiveness. This should serve to increase regional

and clustering to achieve benefits of scale will increase regional research competitiveness. This should serve to increase regional

some minor clustering †as the smart specialization priorities of the strategy As a whole, the selection process briefly described above

ï Cross-clustering capacity, entrepreneurship and the innovation capabilities of SMES and other strategic actions should be defined

reinforcing some priority clustering processes in a similar way than in some European regions c) Try to increase the participation of different private agents and social leaders in the process

i) Strategic actions fostering cross-clustering capacity, entrepreneurship and the innovation capabilities of SMES should be defined

Italy (the spatial clustering analysis and annexes in Chapter 3) and Andrea Piccaluga, Scuola Superiore Sant†Anna, Pisa, Italy,

The geographical clustering of knowledge-intensive activities...136 The role of local knowledge flows for spatial agglomerations

There is strong spatial clustering in knowledge-driven sectors, i e. those where R&d intensity basic university research and highly-skilled workers are most important.

The geographical clustering of knowledge-intensive activities Activities can cluster for different reasons, such as availability of intermediate suppliers

findings underline the importance of knowledge-driven clustering in knowledge-intensive industries. They are reflected also in the results of a recent OECD study of seven

The above section illustrated the phenomenon of spatial clustering of economic activity in knowledge intensive sectors.

suggests that local knowledge transfers are important to this clustering process. This literature stresses the fact that knowledge does not spill over long distance †which means

exists between knowledge spillovers, spatial clustering and innovative output (Giuliani 2005). ) This is especially true for knowledge-driven sectors,

In the case of uneven spatial clustering global spatial indicators, such as Moran†S i, are found to be less useful and local indicators

suggest clustering of similar values (positive spatial correlation), whereas the HL and LH locations indicate spatial outliers (negative spatial correlation

The geographical clustering of knowledge-intensive activities European union Figure 3. 1. Distribution of HTM firms in the European union (Quantiles based on LQS

The IDA to secure provision of new Foreign Direct Investment (FDI) and high value jobs to the region through increased site visits, marketing, branding and enabling clustering of industries

and clustering The development of a plan to position the Southeast as a world leader in food production, technology and research through strong academic Research and development and Industry support

and actions and greater clustering in this area and a use of the FUSE initiative to encourage greater collaboration in the sector

encouraging clustering of similar type industries and ensuring the availability of quality property solutions across the region

, the development of mutual supportive policies and actions and greater clustering Regional Aid for the Southeast

The IDA to secure provision of new FDI and high value jobs to the region though increased site visits, marketing, branding and enabling clustering of industries

Such a high-level CEO Group could be of use across the region, working collaboratively with the new Socio Economic Committees in the region and providing cutting edge advice on future development and clustering

and clustering The development of a plan to position the Southeast as a world leader in food production, technology and research through strong academic Research and development and Industry support

and actions and encourage greater clustering in this area. The Friends of the University of the Southeast (FUSE) initiative,

and actions and greater clustering in this area and a use of the FUSE initiative to encourage greater collaboration in the sector

and enable clustering The general creative sector offers employment and business opportunities not found in other economic sectors as in many cases the opportunities suit small scale start-ups,

Silicon valley can be attributed largely to the clustering of technology firms which enabled networks, alliances and collaborations to flourish

priority areas, clustering the regional efforts on achieving excellence in science and technology  Network of Technological Centres:

Continued investment within the Region in human capital development in the Nursing and Health care professions through education and research will be paramount to ensuring the development and clustering of technology related service industries in the South East

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