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» On the Comparability of Software Clustering Algorithms
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NIPS
2008
13 years 9 months ago
Learning Taxonomies by Dependence Maximization
We introduce a family of unsupervised algorithms, numerical taxonomy clustering, to simultaneously cluster data, and to learn a taxonomy that encodes the relationship between the ...
Matthew B. Blaschko, Arthur Gretton
PKDD
2004
Springer
138views Data Mining» more  PKDD 2004»
14 years 1 months ago
Combining Multiple Clustering Systems
Three methods for combining multiple clustering systems are presented and evaluated, focusing on the problem of finding the correspondence between clusters of different systems. ...
Constantinos Boulis, Mari Ostendorf
PAKDD
2007
ACM
158views Data Mining» more  PAKDD 2007»
14 years 1 months ago
Density-Sensitive Evolutionary Clustering
In this study, we propose a novel evolutionary algorithm-based clustering method, named density-sensitive evolutionary clustering (DSEC). In DSEC, each individual is a sequence of ...
Maoguo Gong, Licheng Jiao, Ling Wang, Liefeng Bo
CIARP
2003
Springer
14 years 1 months ago
Extended Star Clustering Algorithm
Abstract. In this paper we propose the extended star clustering algorithm and compare it with the original star clustering algorithm. We introduce a new concept of star and as a co...
Reynaldo Gil-García, José Manuel Bad...
GECCO
2007
Springer
209views Optimization» more  GECCO 2007»
13 years 11 months ago
Hardware acceleration of multi-deme genetic algorithm for the application of DNA codeword searching
A large and reliable DNA codeword library is key to the success of DNA based computing. Searching for sets of reliable DNA codewords is an NP-hard problem, which can take days on ...
Qinru Qiu, Daniel J. Burns, Prakash Mukre, Qing Wu