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Guizzardi, Andrea; Stacchini, Annalisa - In: Tourism management : research, policies, practice 58 (2017), pp. 40-50

Persistent link: https://www.econbiz.de/10011634634

A new approach to the identification of regional clusters : hierarchical clustering on principal components

Argüelles, M.; Benavides, Carmen; Fernández, Isabel - In: Applied economics 46 (2014) 19/21, pp. 2511-2519

Persistent link: https://www.econbiz.de/10010417201

Nonparametric analysis of clustered multivariate data

Nevalainen, Jaakko; Larocque, Denis; Oja, Hannu; … - In: Journal of the American Statistical Association : JASA 105 (2010) 490, pp. 864-872

Persistent link: https://www.econbiz.de/10008736827

A clustering algorithm-based control chart for inhomogeneously distributed TFT-LCD processes

Kang, Ji Hoon; Kim, Seoung Bum - In: International journal of production research 51 (2013) 18, pp. 5644-5657

Persistent link: https://www.econbiz.de/10010196421

Random start forward searches with envelopes for detecting clusters in multivariate data

Atkinson, Anthony B. (contributor); Riani, Marco (contributor) - 2005

Persistent link: https://www.econbiz.de/10003165105

Spatio-temporal dynamics of European innovation : an exploratory approach via multivariate functional data cluster analysis

Rhoden, Imke; Weller, Daniel; Voit, Ann-Katrin - In: Journal of open innovation : technology, market, and … 8 (2022) 1, pp. 1-23

We apply a functional data approach for mixture model-based multivariate innovation clustering to identify different regional innovation portfolios in Europe, considering patterns of specialization among innovation types. We combine patent registration data and other innovation and economic data...

Persistent link: https://www.econbiz.de/10012801507