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ISBRA
2007
Springer
16 years 10 days 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
AIRS
2004
Springer
15 years 11 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
15 years 6 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
16 years 24 days 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
CORR
2002
Springer
113views Education» more  CORR 2002»
15 years 6 months ago
Robust Global Localization Using Clustered Particle Filtering
Global mobile robot localization is the problem of determining a robot's pose in an environment, using sensor data, when the starting position is unknown. A family of probabi...
Javier Nicolás Sánchez, Adam Milstei...