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BMCBI
2004
158views more  BMCBI 2004»
13 years 9 months ago
Incremental genetic K-means algorithm and its application in gene expression data analysis
Background: In recent years, clustering algorithms have been effectively applied in molecular biology for gene expression data analysis. With the help of clustering algorithms suc...
Yi Lu, Shiyong Lu, Farshad Fotouhi, Youping Deng, ...
CIS
2005
Springer
14 years 3 months ago
Concept Chain Based Text Clustering
Different from familiar clustering objects, text documents have sparse data spaces. A common way of representing a document is as a bag of its component words, but the semantic re...
Shaoxu Song, Jian Zhang, Chunping Li
FSKD
2009
Springer
145views Fuzzy Logic» more  FSKD 2009»
14 years 4 months ago
Chinese Web Comments Clustering Analysis with a Two-phase Method
Usually a meaningful web topic has tens of thousands of comments, especially the hot topics. It is valuable if we congregate the comments into clusters and find out the mainstrea...
Yexin Wang, Li Zhao, Yan Zhang
MASS
2010
157views Communications» more  MASS 2010»
13 years 7 months ago
Spatial extension of the Reality Mining Dataset
Data captured from a live cellular network with the real users during their common daily routine help to understand how the users move within the network. Unlike the simulations wi...
Michal Ficek, Lukas Kencl
JCB
2002
160views more  JCB 2002»
13 years 9 months ago
Inference from Clustering with Application to Gene-Expression Microarrays
There are many algorithms to cluster sample data points based on nearness or a similarity measure. Often the implication is that points in different clusters come from different u...
Edward R. Dougherty, Junior Barrera, Marcel Brun, ...