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BIODATAMINING
2008
96views more  BIODATAMINING 2008»
13 years 5 months ago
Fast approximate hierarchical clustering using similarity heuristics
Background: Agglomerative hierarchical clustering (AHC) is a common unsupervised data analysis technique used in several biological applications. Standard AHC methods require that...
Meelis Kull, Jaak Vilo
BMCBI
2006
153views more  BMCBI 2006»
13 years 5 months ago
Cancer diagnosis marker extraction for soft tissue sarcomas based on gene expression profiling data by using projective adaptive
Background: Recent advances in genome technologies have provided an excellent opportunity to determine the complete biological characteristics of neoplastic tissues, resulting in ...
Hiro Takahashi, Takeshi Nemoto, Teruhiko Yoshida, ...
SDM
2008
SIAM
136views Data Mining» more  SDM 2008»
13 years 6 months ago
Exploration and Reduction of the Feature Space by Hierarchical Clustering
In this paper we propose and test the use of hierarchical clustering for feature selection. The clustering method is Ward's with a distance measure based on GoodmanKruskal ta...
Dino Ienco, Rosa Meo
KDD
2005
ACM
166views Data Mining» more  KDD 2005»
14 years 5 months ago
A general model for clustering binary data
Clustering is the problem of identifying the distribution of patterns and intrinsic correlations in large data sets by partitioning the data points into similarity classes. This p...
Tao Li
PAKDD
2010
ACM
167views Data Mining» more  PAKDD 2010»
13 years 10 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