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FLAIRS
2000
13 years 11 months ago
Graph-Based Hierarchical Conceptual Clustering
Hierarchical conceptual clustering has been proven to be a useful data mining technique. Graph-based representation of structural information has been shown to be successful in kn...
Istvan Jonyer, Lawrence B. Holder, Diane J. Cook
PAKDD
2010
ACM
167views Data Mining» more  PAKDD 2010»
14 years 2 months 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
ICASSP
2010
IEEE
13 years 10 months ago
An adaptive initialization method for speaker Diarization based on prosodic features
The following article presents a novel, adaptive initialization scheme that can be applied to most state-of-the-art Speaker Diarization algorithms, i.e. algorithms that use agglom...
David Imseng, Gerald Friedland
KDD
2003
ACM
180views Data Mining» more  KDD 2003»
14 years 10 months ago
Classifying large data sets using SVMs with hierarchical clusters
Support vector machines (SVMs) have been promising methods for classification and regression analysis because of their solid mathematical foundations which convey several salient ...
Hwanjo Yu, Jiong Yang, Jiawei Han
ICONIP
2008
13 years 11 months ago
Local Feature Selection in Text Clustering
Abstract. Feature selection has improved the performance of text clustering. Global feature selection tries to identify a single subset of features which are relevant to all cluste...
Marcelo N. Ribeiro, Manoel J. R. Neto, Ricardo Bas...