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» Clustering and the Biclique Partition Problem
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ICMLC
2010
Springer
13 years 6 months ago
An integrity-based fuzzy c-means method resolving cluster size sensitivity problem
: Cluster size insensitive FCM (csiFCM) dynamically adjusts the membership value of each object based on the size of the cluster to which it is assigned after defuzzification to re...
Y. H. Lai, P. W. Huang, P. L. Lin
ICDM
2010
IEEE
198views Data Mining» more  ICDM 2010»
13 years 5 months ago
Hierarchical Ensemble Clustering
Ensemble clustering has emerged as an important elaboration of the classical clustering problems. Ensemble clustering refers to the situation in which a number of different (input)...
Li Zheng, Tao Li, Chris H. Q. Ding
IPPS
2003
IEEE
14 years 1 months ago
A GRASP-Based Algorithm for Solving DVE Partitioning Problem
Graphic cards performance increase and fast Internet connections are popularising Networked Virtual Environments. This immature paradigm of real-time applications has still to sol...
Pedro Morillo, Marcos Fernández
PRIS
2004
13 years 9 months ago
Comparison of Combination Methods using Spectral Clustering Ensembles
We address the problem of the combination of multiple data partitions, that we call a clustering ensemble. We use a recent clustering approach, known as Spectral Clustering, and th...
André Lourenço, Ana L. N. Fred
KDD
2006
ACM
112views Data Mining» more  KDD 2006»
14 years 8 months ago
K-means clustering versus validation measures: a data distribution perspective
K-means is a widely used partitional clustering method. While there are considerable research efforts to characterize the key features of K-means clustering, further investigation...
Hui Xiong, Junjie Wu, Jian Chen