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151
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FUIN
2010
143views more  FUIN 2010»
15 years 3 months ago
Cluster Tree Elimination for Distributed Constraint Optimization with Quality Guarantees
Some distributed constraint optimization algorithms use a linear number of messages in the number of agents, but of exponential size. This is often the main limitation for their pr...
Ismel Brito, Pedro Meseguer
ICSM
2009
IEEE
16 years 24 days ago
Using information retrieval to support software maintenance tasks
This paper presents an approach based on Information Retrieval (IR) techniques for extracting and representing the unstructured information in large software systems such that it ...
Denys Poshyvanyk
180
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PKDD
2000
Springer
144views Data Mining» more  PKDD 2000»
15 years 9 months ago
Fast Hierarchical Clustering Based on Compressed Data and OPTICS
: One way to scale up clustering algorithms is to squash the data by some intelligent compression technique and cluster only the compressed data records. Such compressed data recor...
Markus M. Breunig, Hans-Peter Kriegel, Jörg S...
170
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BMCBI
2007
125views more  BMCBI 2007»
15 years 6 months ago
Identification of discriminative characteristics for clusters from biologic data with InforBIO software
Background: There are a number of different methods for generation of trees and algorithms for phylogenetic analysis in the study of bacterial taxonomy. Genotypic information, suc...
Naoto Tanaka, Masataka Uchino, Satoru Miyazaki, Hi...
AI
2005
Springer
15 years 11 months ago
Comparing Dimension Reduction Techniques for Document Clustering
In this research, a systematic study is conducted of four dimension reduction techniques for the text clustering problem, using five benchmark data sets. Of the four methods -- Ind...
Bin Tang, Michael A. Shepherd, Malcolm I. Heywood,...