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Clustering and visualization of bankruptcy patterns using the self-organizing maps
Burda, Andrzej; Pancerz, Krzysztof - In: Barometr regionalny : analizy i prognozy 12 (2014) 3, pp. 133-138
Persistent link: https://www.econbiz.de/10010511590
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An analysis and visualization methodology for identifying and testing market structure
France, Stephen L.; Ghose, Sanjoy - In: Marketing science : the marketing journal of the … 35 (2016) 1, pp. 182-197
Persistent link: https://www.econbiz.de/10011437863
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Q3-D3-LSA
Borke, Lukas; Härdle, Wolfgang - 2016
similarity-based document clustering and knowledge discovery. In particular, different LSA configurations together with … hierarchical clustering reveal good results under M3 evaluation. QuantNet and the corresponding Data-Driven Documents (D3) based … visualization can be found and applied under http://quantlet.de. The driving technology behind it is Q3-D3-LSA, which is the …
Persistent link: https://www.econbiz.de/10011572047
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Visual analysis of venture similarity in entrepreneurial ecosystems
Basole, Rahul C.; Park, Hyunwoo; Chao, Raul O. - In: IEEE transactions on engineering management : EM 66 (2019) 4, pp. 568-582
Persistent link: https://www.econbiz.de/10012129828
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Non-gaussian component analysis: New ideas, new proofs, new applications
Panov, Vladimir - 2010
In this article, we present new ideas concerning Non-Gaussian Component Analysis (NGCA). We use the structural assumption that a high-dimensional random vector X can be represented as a sum of two components - a lowdimensional signal S and a noise component N. We show that this assumption...
Persistent link: https://www.econbiz.de/10010270736
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Integrating WLI fuzzy clustering with grey neural network for missing data imputation
Kuppusamy, Vijayakumar; Paramasivam, Ilango - In: International journal of intelligent enterprise : IJIE 4 (2017) 1/2, pp. 103-127
Persistent link: https://www.econbiz.de/10011858902
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Bayesian clustering for row effects models
Tarantola, Claudia; Consonni, Guido; Dallaportas, Petros - 2006
We deal with two-way contingency tables having ordered column categories. We use a row effects model wherein each interaction term is assumed to have a multiplicative form involving a row effect parameter and a fixed column score. We propose a methodology to cluster row effects in order to...
Persistent link: https://www.econbiz.de/10010326091
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A comment on variance decomposition and nesting effects in two- and three-level designs
Konstantopoulos, Spyros - 2007
the hierarchy on the variance decomposition and the clustering effects have not been well documented. This paper discusses … how omitting one level in three-level models affects the variance decomposition and clustering in the resulting two …
Persistent link: https://www.econbiz.de/10010268429
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United States digital divide : state level analysis of spatial clustering and multivariate determinants of lCT utilization
Pick, James B.; Sarkar, Avijit; Johnson, Jeremy - In: Socio-economic planning sciences : the international … 49 (2015), pp. 16-32
Persistent link: https://www.econbiz.de/10010510748
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Numerical data clustering algorithms in mining real estate listings
Pancerz, Krzysztof; Mich, Olga - In: Barometr regionalny : analizy i prognozy 12 (2014) 3, pp. 43-50
Persistent link: https://www.econbiz.de/10010511637