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IAJIT
2008
115views more  IAJIT 2008»
15 years 5 months ago
Optimal Fuzzy Clustering in Overlapping Clusters
: The fuzzy c-means clustering algorithm has been widely used to obtain the fuzzy k-partitions. This algorithm requires that the user gives the number of clusters k. To find automa...
Ouafae Ammor, Abdelmounim Lachkar, Khadija Slaoui,...
148
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ICDCS
2006
IEEE
15 years 11 months ago
Analysis of Clustering and Routing Overhead for Clustered Mobile Ad Hoc Networks
This paper presents an analysis of the control overhead involved in clustering and routing for one-hop clustered mobile ad hoc networks. Previous work on the analysis of control o...
Mingqiang Xue, Inn Inn Er, Winston Khoon Guan Seah
ICDM
2009
IEEE
165views Data Mining» more  ICDM 2009»
15 years 11 months ago
Cross-Guided Clustering: Transfer of Relevant Supervision across Domains for Improved Clustering
—Lack of supervision in clustering algorithms often leads to clusters that are not useful or interesting to human reviewers. We investigate if supervision can be automatically tr...
Indrajit Bhattacharya, Shantanu Godbole, Sachindra...
RIAO
2007
15 years 6 months ago
Comprehensible and Accurate Cluster Labels in Text Clustering
The purpose of text clustering in information retrieval is to discover groups of semantically related documents. Accurate and comprehensible cluster descriptions (labels) let the ...
Jerzy Stefanowski, Dawid Weiss
WWW
2007
ACM
16 years 5 months ago
A clustering method for web data with multi-type interrelated components
Traditional clustering algorithms work on "flat" data, making the assumption that the data instances can only be represented by a set of homogeneous and uniform features...
Levent Bolelli, Seyda Ertekin, Ding Zhou, C. Lee G...