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JDCTA
2010
122views more  JDCTA 2010»
14 years 6 months ago
The Application Research of High-dimensional Mixed-attribute Data Clustering Algorithm
High-dimensional mixed-attribute data clustering has become an important research direction in data mining area. Because of the advantages of the information technology, data coll...
Lilin Fan, Chunhong Liu, Qian Liu
GECCO
2008
Springer
171views Optimization» more  GECCO 2008»
15 years 22 days ago
Particle swarm clustering ensemble
Extracting natural groups of the unlabeled data is known as clustering. To improve the stability and robustness of the clustering outputs, clustering ensembles have emerged recent...
Abbas Ahmadi, Fakhri Karray, Mohamed Kamel
90
Voted
ICML
2010
IEEE
14 years 12 months ago
Nonparametric Information Theoretic Clustering Algorithm
In this paper we propose a novel clustering algorithm based on maximizing the mutual information between data points and clusters. Unlike previous methods, we neither assume the d...
Lev Faivishevsky, Jacob Goldberger
87
Voted
RSCTC
2004
Springer
148views Fuzzy Logic» more  RSCTC 2004»
15 years 5 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...
163
Voted

Book
412views
16 years 10 months ago
Algorithms for Clustering Data
"Cluster analysis is an important technique in the rapidly growing field known as exploratory data analysis and is being applied in a variety of engineering and scientific dis...
A. K. Jain, R. C. Dubes