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» Evaluation of clustering algorithms for gene expression data
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SIGIR
2002
ACM
15 years 6 months ago
Unsupervised document classification using sequential information maximization
We present a novel sequential clustering algorithm which is motivated by the Information Bottleneck (IB) method. In contrast to the agglomerative IB algorithm, the new sequential ...
Noam Slonim, Nir Friedman, Naftali Tishby
KDD
2003
ACM
180views Data Mining» more  KDD 2003»
16 years 7 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
NAR
2008
97views more  NAR 2008»
15 years 6 months ago
Database resources of the National Center for Biotechnology Information
In addition to maintaining the GenBank(R) nucleic acid sequence database, the National Center for Biotechnology Information (NCBI) provides analysis and retrieval resources for th...
David L. Wheeler, Tanya Barrett, Dennis A. Benson,...
SSDBM
2007
IEEE
110views Database» more  SSDBM 2007»
16 years 24 days ago
On Exploring Complex Relationships of Correlation Clusters
In high dimensional data, clusters often only exist in arbitrarily oriented subspaces of the feature space. In addition, these so-called correlation clusters may have complex rela...
Elke Achtert, Christian Böhm, Hans-Peter Krie...
QSIC
2005
IEEE
16 years 3 days ago
Stochastic Voting Algorithms for Web Services Group Testing
This paper proposes a stochastic voting for testing a large number of Web Services (WS) under group testing. In the future, a large number of WS will be available and they need to...
Wei-Tek Tsai, Dawei Zhang, Raymond A. Paul, Yinong...