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ISBRA
2007
Springer
14 years 3 months ago
Clustering Algorithms Optimizer: A Framework for Large Datasets
Clustering algorithms are employed in many bioinformatics tasks, including categorization of protein sequences and analysis of gene-expression data. Although these algorithms are r...
Roy Varshavsky, David Horn, Michal Linial
GECCO
2005
Springer
144views Optimization» more  GECCO 2005»
14 years 2 months ago
Multiobjective hBOA, clustering, and scalability
This paper describes a scalable algorithm for solving multiobjective decomposable problems by combining the hierarchical Bayesian optimization algorithm (hBOA) with the nondominat...
Martin Pelikan, Kumara Sastry, David E. Goldberg
AIRS
2004
Springer
14 years 2 months ago
Document Clustering Using Linear Partitioning Hyperplanes and Reallocation
This paper presents a novel algorithm for document clustering based on a combinatorial framework of the Principal Direction Divisive Partitioning (PDDP) algorithm [1] and a simpli...
Canasai Kruengkrai, Virach Sornlertlamvanich, Hito...
ICASSP
2010
IEEE
13 years 9 months ago
A new penalty term for the BIC with respect to speaker diarization
In this paper we revise the penalty term of the Bayesian Information Criterion (BIC). Based on our previous approach to penalize each cluster only with its corresponding effective...
Themos Stafylakis, Georgios Tzimiropoulos, Vassili...
AUSAI
2009
Springer
14 years 3 months ago
Enhancing MML Clustering Using Context Data with Climate Applications
Abstract. In Minimum Message Length (MML) clustering (unsupervised classification, mixture modelling) the aim is to infer a set of classes that best explains the observed data ite...
Gerhard Visser, David L. Dowe, Petteri Uotila