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» Finding Groups in Data: Cluster Analysis with Ants
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CORR
2011
Springer
229views Education» more  CORR 2011»
13 years 1 months ago
"Improved FCM algorithm for Clustering on Web Usage Mining"
In this paper we present clustering method is very sensitive to the initial center values ,requirements on the data set too high, and cannot handle noisy data the proposal method ...
K. Suresh
JBI
2004
171views Bioinformatics» more  JBI 2004»
13 years 8 months ago
Consensus Clustering and Functional Interpretation of Gene Expression Data
Microarray analysis using clustering algorithms can suffer from lack of inter-method consistency in assigning related gene-expression profiles to clusters. Obtaining a consensus s...
Paul Kellam, Stephen Swift, Allan Tucker, Veronica...
BMCBI
2006
163views more  BMCBI 2006»
13 years 6 months ago
Ensemble attribute profile clustering: discovering and characterizing groups of genes with similar patterns of biological featur
Background: Ensemble attribute profile clustering is a novel, text-based strategy for analyzing a userdefined list of genes and/or proteins. The strategy exploits annotation data ...
J. R. Semeiks, A. Rizki, Mina J. Bissell, I. Saira...
ICML
2007
IEEE
14 years 7 months ago
Cluster analysis of heterogeneous rank data
Cluster analysis of ranking data, which occurs in consumer questionnaires, voting forms or other inquiries of preferences, attempts to identify typical groups of rank choices. Emp...
Ludwig M. Busse, Peter Orbanz, Joachim M. Buhmann
HICSS
2010
IEEE
237views Biometrics» more  HICSS 2010»
14 years 1 months ago
Data Aggregation and Analysis for Cancer Statistics - A Visual Analytics Approach
The disparity between data collected in rural and urban counties is often detrimental in the appropriate analysis of cancer care statistics. Low counts drastically affect the inci...
Ross Maciejewski, Travis Drake, Stephen Rudolph, A...