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CIKM
2004
Springer
14 years 2 months ago
Mining gene expression datasets using density-based clustering
Given the recent advancement of microarray technologies, we present a density-based clustering approach for the purpose of co-expressed gene cluster identification. The underlyin...
Seokkyung Chung, Jongeun Jun, Dennis McLeod
ICONIP
2009
13 years 6 months ago
A Study on Clustering Method by Self-Organizing Map and Information Criteria
In this paper, we propose a clustering method by SOM and information criteria. In this method, initial cluster-candidates are derived by SOM, and then these candidates are merged a...
Satoru Kato, Tadashi Horiuchi, Yoshio Itoh
AVSS
2007
IEEE
14 years 3 months ago
Vehicular traffic density estimation via statistical methods with automated state learning
This paper proposes a novel approach of combining an unsupervised clustering scheme called AutoClass with Hidden Markov Models (HMMs) to determine the traffic density state in a R...
Evan Tan, Jing Chen
SIGMOD
2002
ACM
154views Database» more  SIGMOD 2002»
14 years 8 months ago
Clustering Validity Checking Methods: Part II
Clustering results validation is an important topic in the context of pattern recognition. We review approaches and systems in this context. In the first part of this paper we pre...
Maria Halkidi, Yannis Batistakis, Michalis Vazirgi...
FSKD
2009
Springer
143views Fuzzy Logic» more  FSKD 2009»
13 years 6 months ago
Spectral Clustering for Chinese Word
Sense Induction is the process of identifying the word sense given its context, often treated as a clustering task. This paper explores the use of spectral cluster method which in...
Ying Liu, Wang Nan, Tie Zheng