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APVIS
2008
13 years 9 months ago
Energy-Based Hierarchical Edge Clustering of Graphs
Effectively visualizing complex node-link graphs which depict relationships among data nodes is a challenging task due to the clutter and occlusion resulting from an excessive amo...
Hong Zhou, Xiaoru Yuan, Weiwei Cui, Huamin Qu, Bao...
ICDM
2007
IEEE
149views Data Mining» more  ICDM 2007»
14 years 1 months ago
Solving Consensus and Semi-supervised Clustering Problems Using Nonnegative Matrix Factorization
Consensus clustering and semi-supervised clustering are important extensions of the standard clustering paradigm. Consensus clustering (also known as aggregation of clustering) ca...
Tao Li, Chris H. Q. Ding, Michael I. Jordan
ISCC
1999
IEEE
176views Communications» more  ISCC 1999»
13 years 12 months ago
Image Browsing using Hierarchical Clustering
Digital images and video clips are becoming popular due to the increase in the availability of consumer devices that capture digital images and video clips. Digital content is als...
Santhana Krishnamachari, Mohamed Abdel-Mottaleb
KDD
2002
ACM
170views Data Mining» more  KDD 2002»
14 years 8 months ago
Enhanced word clustering for hierarchical text classification
In this paper we propose a new information-theoretic divisive algorithm for word clustering applied to text classification. In previous work, such "distributional clustering&...
Inderjit S. Dhillon, Subramanyam Mallela, Rahul Ku...
IJIT
2004
13 years 9 months ago
On the Noise Distance in Robust Fuzzy C-Means
In the last decades, a number of robust fuzzy clustering algorithms have been proposed to partition data sets affected by noise and outliers. Robust fuzzy C-means (robust-FCM) is c...
Mario G. C. A. Cimino, Graziano Frosini, Beatrice ...