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WILF
2007
Springer
98views Fuzzy Logic» more  WILF 2007»
14 years 4 months ago
Possibilistic Clustering in Feature Space
In this paper we propose the Possibilistic C-Means in Feature Space and the One-Cluster Possibilistic C-Means in Feature Space algorithms which are kernel methods for clustering in...
Maurizio Filippone, Francesco Masulli, Stefano Rov...
ICANN
2009
Springer
14 years 3 months ago
A Two Stage Clustering Method Combining Self-Organizing Maps and Ant K-Means
This paper proposes a clustering method SOMAK, which is composed by Self-Organizing Maps (SOM) followed by the Ant K-means (AK) algorithm. The aim of this method is not to find an...
Jefferson R. Souza, Teresa Bernarda Ludermir, Lean...
GECCO
2006
Springer
144views Optimization» more  GECCO 2006»
14 years 2 months ago
On semi-supervised clustering via multiobjective optimization
Semi-supervised classification uses aspects of both unsupervised and supervised learning to improve upon the performance of traditional classification methods. Semi-supervised clu...
Julia Handl, Joshua D. Knowles
SDM
2007
SIAM
74views Data Mining» more  SDM 2007»
14 years 7 days ago
HACS: Heuristic Algorithm for Clustering Subsets
The term consideration set is used in marketing to refer to the set of items a customer thought about purchasing before making a choice. While consideration sets are not directly ...
Ding Yuan, W. Nick Street
EUSFLAT
2003
145views Fuzzy Logic» more  EUSFLAT 2003»
14 years 5 days ago
Proximity fuzzy clustering for web context analysis
This study extends the web classification approach through a proximity-based fuzzy clustering sensible to the influence of the page. The proximity-based fuzzy clustering works in ...
Vincenzo Loia, Witold Pedrycz, Sabrina Senatore