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Spatio-temporal dynamics of European innovation : an exploratory approach via multivariate functional data cluster analysis
Rhoden, Imke; Weller, Daniel; Voit, Ann-Katrin - 2021
We apply a functional data approach for mixture model-based multivariate innovation clustering to identify different … regional innovation portfolios in Europe. Innovation concentration is considered as pattern of specialization among innovation … types. We examine patent registration data and combine them with other innovation and economic data across 225 regions, 13 …
Persistent link: https://www.econbiz.de/10012792485
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Testing for Unobserved Heterogeneity via K-Means Clustering
Patton, Andrew J. - 2019
Clustering methods such as k-means have found widespread use in a variety of applications. This paper proposes a formal testing procedure to determine whether a null hypothesis of a single cluster, indicating homogeneity of the data, can be rejected in favor of multiple clusters. The test is...
Persistent link: https://www.econbiz.de/10012866500
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Clustering and Curve Fitting by Line Segments
Vinod, Hrishikesh D. - 2017
Nonlinear nonparametric statistics (NNS) algorithm offers new tools for curve fitting. A relationship between k-means clustering and NNS regression points is explored with graphics showing a perfect fit in the limit. The goal of this paper is to demonstrate NNS as a form of unsupervised...
Persistent link: https://www.econbiz.de/10012967640
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Uncommon Factors for Bayesian Asset Clusters
Cong, Lin William; Feng, Guanhao; He, Jingyu; Li, Junye - 2022
Asset returns exhibit grouped heterogeneity, and a “one-size-fits-all” model has been elusive empirically. This paper proposes a Bayesian Clustering Model (BCM) combining Bayesian factor selection and panel tree for asset clustering. The Bayesian model marginal likelihood guides the tree...
Persistent link: https://www.econbiz.de/10014239481
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Classical and spatial cluster analysis of smuggling in Iranian provinces
Farzammehr, Mohadeseh Alsadat; Moradi, Saadolah - In: Regional science policy and practice : RSPP 16 (2024) 2, pp. 1-22
Smuggling harms the economy and development of a country. Various statistical methods can be used to determine the geographical distribution of smuggling within a country. In this regard, clustering techniques (both classical and spatial analysis) have been used to present an overview of...
Persistent link: https://www.econbiz.de/10014517007
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Overcoming undesirable knowledge redundancy in territorial clusters
Molina-Morales, F. Xavier; Expósito-Langa, Manuel - In: Industry and innovation 20 (2013) 8, pp. 739-758
Persistent link: https://www.econbiz.de/10010235494
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Creative regions : technology, culture and knowledge entrepreneurship
Cooke, Philip (contributor); Schwartz, Dafna (contributor) - 2007
and innovation process within regions in the knowledge economy …
Persistent link: https://www.econbiz.de/10003414594
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Geographical clustering based on knowledge externalities : an agent-based model
Albino, Vito; Alvarez, Francisco; Giannoccaro, Ilaria - In: Innovations and entrepreneurship in functional regions …, (pp. 101-113). 2006
Persistent link: https://www.econbiz.de/10003393757
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Creation and persistence of ties in cluster knowledge networks
Juhász, Sándor; Lengyel, Balázs - In: Journal of economic geography 18 (2018) 6, pp. 1203-1226
Persistent link: https://www.econbiz.de/10012107955
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Creation and persistence of ties in cluster knowledge networks
Juhász, Sándor; Lengyel, Balázs - 2017
Knowledge networks are important to understand learning in industry clusters but surprisingly little is known about what drives the formation, persistence and dissolution of ties. Applying stochastic actor-oriented models on longitudinal relational data from a mature cluster in a medium-tech...
Persistent link: https://www.econbiz.de/10011757587