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» A Genetic Algorithm for Clustering on Very Large Data Sets
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PAMI
2007
202views more  PAMI 2007»
13 years 8 months ago
Weighted Graph Cuts without Eigenvectors A Multilevel Approach
—A variety of clustering algorithms have recently been proposed to handle data that is not linearly separable; spectral clustering and kernel k-means are two of the main methods....
Inderjit S. Dhillon, Yuqiang Guan, Brian Kulis
ECIR
2008
Springer
13 years 10 months ago
Clustering Template Based Web Documents
More and more documents on the World Wide Web are based on templates. On a technical level this causes those documents to have a quite similar source code and DOM tree structure. G...
Thomas Gottron
EDBT
2006
ACM
191views Database» more  EDBT 2006»
14 years 8 months ago
Distributed Spatial Clustering in Sensor Networks
Abstract. Sensor networks monitor physical phenomena over large geographic regions. Scientists can gain valuable insight into these phenomena, if they understand the underlying dat...
Anand Meka, Ambuj K. Singh
ADMA
2009
Springer
145views Data Mining» more  ADMA 2009»
14 years 3 months ago
A Framework for Multi-Objective Clustering and Its Application to Co-Location Mining
The goal of multi-objective clustering (MOC) is to decompose a dataset into similar groups maximizing multiple objectives in parallel. In this paper, we provide a methodology, arch...
Rachsuda Jiamthapthaksin, Christoph F. Eick, Ricar...
EDBT
2004
ACM
268views Database» more  EDBT 2004»
14 years 8 months ago
DBDC: Density Based Distributed Clustering
Abstract. Clustering has become an increasingly important task in modern application domains such as marketing and purchasing assistance, multimedia, molecular biology as well as m...
Eshref Januzaj, Hans-Peter Kriegel, Martin Pfeifle