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» An Index Structure for Data Mining and Clustering
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WEBI
2010
Springer
13 years 5 months ago
Discovering Research Communities by Clustering Bibliographical Data
Today's world is characterized by the multiplicity of interconnections through many types of links between the people, that is why mining social networks appears to be an impo...
Fabrice Muhlenbach, Stéphane Lallich
GFKL
2004
Springer
137views Data Mining» more  GFKL 2004»
14 years 29 days ago
Density Estimation and Visualization for Data Containing Clusters of Unknown Structure
Abstract. A method for measuring the density of data sets that contain an unknown number of clusters of unknown sizes is proposed. This method, called Pareto Density Estimation (PD...
Alfred Ultsch
PAKDD
2010
ACM
167views Data Mining» more  PAKDD 2010»
14 years 11 days ago
Hierarchical Web-Page Clustering via In-Page and Cross-Page Link Structures
Abstract. Despite of the wide diversity of web-pages, web-pages residing in a particular organization, in most cases, are organized with semantically hierarchic structures. For exa...
Cindy Xide Lin, Yintao Yu, Jiawei Han, Bing Liu
ICDM
2005
IEEE
151views Data Mining» more  ICDM 2005»
14 years 1 months ago
A Framework for Semi-Supervised Learning Based on Subjective and Objective Clustering Criteria
In this paper, we propose a semi-supervised framework for learning a weighted Euclidean subspace, where the best clustering can be achieved. Our approach capitalizes on user-const...
Maria Halkidi, Dimitrios Gunopulos, Nitin Kumar, M...
ICDM
2009
IEEE
175views Data Mining» more  ICDM 2009»
13 years 5 months ago
Maximum Margin Clustering with Multivariate Loss Function
This paper presents a simple but powerful extension of the maximum margin clustering (MMC) algorithm that optimizes multivariate performance measure specifically defined for clust...
Bin Zhao, James Tin-Yau Kwok, Changshui Zhang