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» A practical comparison of two K-Means clustering algorithms
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KDD
2003
ACM
124views Data Mining» more  KDD 2003»
16 years 2 days ago
Information-theoretic co-clustering
Two-dimensional contingency or co-occurrence tables arise frequently in important applications such as text, web-log and market-basket data analysis. A basic problem in contingenc...
Inderjit S. Dhillon, Subramanyam Mallela, Dharmend...
RECOMB
2001
Springer
15 years 12 months ago
A new approach to sequence comparison: normalized sequence alignment
The Smith-Waterman algorithm for local sequence alignment is one of the most important techniques in computational molecular biology. This ingenious dynamic programming approach w...
Abdullah N. Arslan, Ömer Egecioglu, Pavel A. ...
EUSFLAT
2009
343views Fuzzy Logic» more  EUSFLAT 2009»
14 years 9 months ago
Towards an Interpretation of the Connectivity Analysis in the Frame of Fuzzy Equivalence Relations for Medical Diagnoses
Connectivity analysis methodology is suitable to find representative symptoms of a disease. This methodology describes connections between symptoms in particular way and then choos...
Tatiana Kiseliova
GECCO
2006
Springer
144views Optimization» more  GECCO 2006»
15 years 3 months ago
On semi-supervised clustering via multiobjective optimization
Semi-supervised classification uses aspects of both unsupervised and supervised learning to improve upon the performance of traditional classification methods. Semi-supervised clu...
Julia Handl, Joshua D. Knowles
PR
2006
84views more  PR 2006»
14 years 11 months ago
Clustering techniques for protein surfaces
Though most approaches to protein comparison are based on their structure, several studies produced evidence of a strict correlation between the surface characteristics of protein...
Lorenzo Baldacci, Matteo Golfarelli, Alessandra Lu...