256 search results - page 22 / 52 » A practical comparison of two K-Means clustering algorithms |
105
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BMCBI
2010
14 years 12 months ago
2010
Background: A relevant problem in drug design is the comparison and recognition of protein binding sites. Binding sites recognition is generally based on geometry often combined w...
CLUSTER
2008
IEEE
15 years 6 months ago
2008
IEEE
— Applications raising in many scientific fields exhibit both data and task parallelism that have to be exploited efficiently. A classic approach is to structure those applica...
ICANN
2003
Springer
15 years 5 months ago
2003
Springer
Abstract. This paper proposes a general approach named ExpectationMiniMax (EMM) for clustering analysis without knowing the cluster number. It describes the contrast function of Ex...
WABI
2001
Springer
15 years 4 months ago
2001
Springer
We describe algorithms for pattern matching and pattern learning in TOPS diagrams (formal descriptions of protein topologies). These problems can be reduced to checking for subgrap...
213
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FUIN
2011
14 years 3 months ago
2011
In this article, a novel concept is introduced by using both unsupervised and supervised learning. For unsupervised learning, the problem of fuzzy clustering in microarray data as ...