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EOR
2007
110views more  EOR 2007»
14 years 9 months ago
A hierarchical ant based clustering algorithm and its use in three real-world applications
In this paper is presented a new model for data clustering, which is inspired from the selfassembly behavior of real ants. Real ants can build complex structures by connecting the...
Hanene Azzag, Gilles Venturini, Antoine Oliver, Ch...
FSKD
2008
Springer
146views Fuzzy Logic» more  FSKD 2008»
14 years 10 months ago
A Collaborative Filtering Algorithm Based on Rough Set and Fuzzy Clustering
DanEr Chen, YuLong Ying, SongJie Gong
EUSFLAT
2009
207views Fuzzy Logic» more  EUSFLAT 2009»
14 years 7 months ago
New Fuzzy Color Clustering Algorithm Based on hsl Similarity
In this paper, one presents a fuzzy color clustering algorithm that is based on a new measure of similarity. This new measure of color similarity is defined on a perceptual color s...
Vasile Patrascu
ICANN
2009
Springer
15 years 2 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...
RSCTC
2004
Springer
148views Fuzzy Logic» more  RSCTC 2004»
15 years 2 months ago
Towards Missing Data Imputation: A Study of Fuzzy K-means Clustering Method
In this paper, we present a missing data imputation method based on one of the most popular techniques in Knowledge Discovery in Databases (KDD), i.e. clustering technique. We comb...
Dan Li, Jitender S. Deogun, William Spaulding, Bil...