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» Clustering functional data with the SOM algorithm
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89
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ICCS
2007
Springer
15 years 5 months ago
Density Based Fuzzy Membership Functions in the Context of Geocomputation
Geocomputation has a long tradition in dealing with fuzzyness in different contexts, most notably in the challenges created by the representation of geographic space in digital for...
Victor Sousa Lobo, Fernando Bação, M...
ESANN
2004
15 years 1 months ago
Forbidden magnification? II
The twin of this paper, "Forbidden Magnification? I." [1], presents systematic SOM simulations with the explicit magnification control scheme of Bauer, Der, and Herrmann ...
Erzsébet Merényi, Abha Jain
BMCBI
2008
259views more  BMCBI 2008»
14 years 11 months ago
DISCLOSE : DISsection of CLusters Obtained by SEries of transcriptome data using functional annotations and putative transcripti
Background: A typical step in the analysis of gene expression data is the determination of clusters of genes that exhibit similar expression patterns. Researchers are confronted w...
Evert-Jan Blom, Sacha A. F. T. van Hijum, Klaas J....
114
Voted
JBI
2004
171views Bioinformatics» more  JBI 2004»
15 years 1 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...
SIGMOD
2011
ACM
269views Database» more  SIGMOD 2011»
14 years 2 months ago
Advancing data clustering via projective clustering ensembles
Projective Clustering Ensembles (PCE) are a very recent advance in data clustering research which combines the two powerful tools of clustering ensembles and projective clustering...
Francesco Gullo, Carlotta Domeniconi, Andrea Tagar...