256 search results - page 8 / 52 » A practical comparison of two K-Means clustering algorithms |
102
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SIAMJO
2008
14 years 11 months ago
2008
Given A := {a1, . . . , am} Rn and > 0, we propose and analyze two algorithms for the problem of computing a (1 + )-approximation to the radius of the minimum enclosing ball o...
103
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GECCO
2009
Springer
15 years 6 months ago
2009
Springer
Size and complexity of data repositories collaboratively created by Web users generate a need for new processing approaches. In this paper, we study the problem of detection of ï¬...
ISPASS
2006
IEEE
15 years 5 months ago
2006
IEEE
SimPoint is a technique used to pick what parts of the program’s execution to simulate in order to have a complete picture of execution. SimPoint uses data clustering algorithms...
ICSE
2004
IEEE-ACM
15 years 11 months ago
2004
IEEE-ACM
Impact analysis -- determining the potential effects of changes on a software system -- plays an important role in software engineering tasks such as maintenance, regression testi...
100
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IDA
2003
Springer
15 years 4 months ago
2003
Springer
This paper proposes a new clustering algorithm in the fuzzy-c-means family, which is designed to cluster time series and is particularly suited for short time series and those wit...