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ML
2010
ACM
127views Machine Learning» more  ML 2010»
13 years 7 months ago
Stability and model selection in k-means clustering
Abstract Clustering Stability methods are a family of widely used model selection techniques for data clustering. Their unifying theme is that an appropriate model should result in...
Ohad Shamir, Naftali Tishby
COLING
2002
13 years 8 months ago
A Method of Cluster-Based Indexing of Textual Data
This paper presents a framework for clustering in text-based information retrieval systems. The prominent feature of the proposed method is that documents, terms, and other relate...
Akiko N. Aizawa
PR
2006
127views more  PR 2006»
13 years 8 months ago
Unsupervised possibilistic clustering
In fuzzy clustering, the fuzzy c-means (FCM) clustering algorithm is the best known and used method. Since the FCM memberships do not always explain the degrees of belonging for t...
Miin-Shen Yang, Kuo-Lung Wu
ICDM
2008
IEEE
146views Data Mining» more  ICDM 2008»
14 years 3 months ago
Hunting for Coherent Co-clusters in High Dimensional and Noisy Datasets
Clustering problems often involve datasets where only a part of the data is relevant to the problem, e.g., in microarray data analysis only a subset of the genes show cohesive exp...
Meghana Deodhar, Joydeep Ghosh, Gunjan Gupta, Hyuk...
CCGRID
2006
IEEE
14 years 2 months ago
A Robust Reputation System for the Grid
Jianshu Weng, Chunyan Miao, Angela Goh