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» Feature Selection in Clustering Problems
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COMGEO
2010
ACM
13 years 9 months ago
Approximation algorithm for the kinetic robust K-center problem
Clustering is an important problem and has numerous applications. In this paper we consider an important clustering problem, called the k-center problem. We are given a discrete p...
Sorelle A. Friedler, David M. Mount
BMCBI
2006
164views more  BMCBI 2006»
13 years 9 months ago
Evaluation of clustering algorithms for gene expression data
Background: Cluster analysis is an integral part of high dimensional data analysis. In the context of large scale gene expression data, a filtered set of genes are grouped togethe...
Susmita Datta, Somnath Datta
BMCBI
2008
100views more  BMCBI 2008»
13 years 9 months ago
Hotspot Hunter: a computational system for large-scale screening and selection of candidate immunological hotspots in pathogen p
Background: T-cell epitopes that promiscuously bind to multiple alleles of a human leukocyte antigen (HLA) supertype are prime targets for development of vaccines and immunotherap...
Guanglan Zhang, Asif M. Khan, Kellathur N. Sriniva...
ICPR
2004
IEEE
14 years 10 months ago
Complex Human Activity Recognition for Monitoring Wide Outdoor Environments
The problem of automatic recognition of human activities is among the most important and challenging open areas of research in Computer Vision. This paper presents a new approach ...
Arcangelo Distante, I. Gnoni, Marco Leo, Paolo Spa...
ASIAN
1998
Springer
133views Algorithms» more  ASIAN 1998»
14 years 1 months ago
Type Inference for First-Class Messages with Feature Constraints
Abstract. We present a constraint system OF of feature trees that is appropriate to specify and implement type inference for first-class messages. OF extends traditional systems of...
Martin Müller, Susumu Nishimura