472 search results - page 23 / 95 » Clustering functional data with the SOM algorithm |
142
Voted
KDD
2005
ACM
16 years 4 months ago
2005
ACM
Graph clustering (also called graph partitioning) -- clustering the nodes of a graph -- is an important problem in diverse data mining applications. Traditional approaches involve...
128
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ICML
2005
IEEE
16 years 4 months ago
2005
IEEE
Semi-supervised clustering algorithms aim to improve clustering results using limited supervision. The supervision is generally given as pairwise constraints; such constraints are...
132
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GECCO
2005
Springer
15 years 9 months ago
2005
Springer
Two of the attractions of search-based software engineering (SBSE) derive from the nature of the fitness functions used to guide the search. These have proved to be highly robust...
130
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DATAMINE
2006
15 years 3 months ago
2006
Clustering with partial supervision finds its application in situations where data is neither entirely nor accurately labeled. This paper discusses a semisupervised clustering algo...
156
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BMCBI
2006
15 years 4 months ago
2006
Background: Non-negative matrix factorisation (NMF), a machine learning algorithm, has been applied to the analysis of microarray data. A key feature of NMF is the ability to iden...