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Clustering ranked preference data using sociodemographic covariates

Gormley, Isobel Claire; Murphy, Thomas Brendan - 2010

Ranked preference data arise when a set of judges rank, in order of their preference, a set of objects. Such data arise in preferential voting systems and market research surveys. Covariate data associated with the judges are also often recorded. Such covariate data should be used in conjunction...

Persistent link: https://www.econbiz.de/10009475695

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

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

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

Chinese text categorization via bottom-up weighted word clustering

Wu, Yu-Chieh - In: International journal of enterprise information systems … 11 (2015) 1, pp. 50-61

Persistent link: https://www.econbiz.de/10010515432

Data clustering : review and investigation of parallel genetic algorithms for revealing clusters

Dehuri, Satchidananda; Mishra, Bhabani Shankar Prasad; … - In: International journal of applied management science 6 (2014) 3, pp. 212-243

Persistent link: https://www.econbiz.de/10011284563

Fuzzy clustering approach to employer brand positioning : an Indian employer study

Thomas, Bejoy John; Jaykumar, David Sam; Jenifer, Clemence - In: Journal of academic research in economics 6 (2014) 2, pp. 194-224

Persistent link: https://www.econbiz.de/10011345853

A survey on data mining and knowledge discovery techniques for spatial data

Shishehgar, Majid; Mirmohammadi, Seyed Nasirodin; … - In: International journal of business information systems : … 19 (2015) 2, pp. 265-276

Persistent link: https://www.econbiz.de/10011326799

RSQRT : an heuristic for estimating the number of clusters to report

Carlis, John; Bruso, Kelsey - In: Electronic commerce research and applications 11 (2012) 1/6, pp. 152-158

Persistent link: https://www.econbiz.de/10009730259

Framework for user acceptance : clustering for fine-grained results

Devolder, Pieter; Pynoo, Bram; Sijnave, Bart; Voet, Tony; … - In: Information & management : the internat. journal of … 49 (2012) 5, pp. 233-239

Persistent link: https://www.econbiz.de/10009620284

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