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BMCBI
2004
87views more  BMCBI 2004»
13 years 7 months ago
Selection of informative clusters from hierarchical cluster tree with gene classes
Background: A common clustering method in the analysis of gene expression data has been hierarchical clustering. Usually the analysis involves selection of clusters by cutting the...
Petri Törönen
ICML
2000
IEEE
14 years 8 months ago
Clustering with Instance-level Constraints
Clustering algorithms conduct a search through the space of possible organizations of a data set. In this paper, we propose two types of instance-level clustering constraints ? mu...
Kiri Wagstaff, Claire Cardie
SAT
2007
Springer
107views Hardware» more  SAT 2007»
14 years 1 months ago
Combining Adaptive Noise and Look-Ahead in Local Search for SAT
Abstract. The adaptive noise mechanism was introduced in Novelty+ to automatically adapt noise settings during the search [4]. The local search algorithm G2 WSAT deterministically ...
Chu Min Li, Wanxia Wei, Harry Zhang
TSE
2011
111views more  TSE 2011»
13 years 2 months ago
Software Module Clustering as a Multi-Objective Search Problem
Software module clustering is the problem of automatically organising software units into modules to improve program structure. There has been a great deal of recent interest in s...
Kata Praditwong, Mark Harman, Xin Yao
ECIR
2006
Springer
13 years 9 months ago
Clustering-Based Searching and Navigation in an Online News Source
The growing amount of online news posted on the WWW demands new algorithms that support topic detection, search, and navigation of news documents. This work presents an algorithm f...
Simón C. Smith, M. Andrea Rodríguez