256 search results - page 9 / 52 » A practical comparison of two K-Means clustering algorithms |
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WABI
2004
Springer
15 years 5 months ago
2004
Springer
We describe an algorithm for comparing two RNA secondary structures coded in the form of trees that introduces two novel operations, called node fusion and edge fusion, besides the...
CORR
2008
Springer
14 years 11 months ago
2008
Springer
We describe an algorithm for comparing two RNA secondary structures coded in the form of trees that introduces two new operations, called node fusion and edge fusion, besides the t...
BMCBI
2008
14 years 11 months ago
2008
Background: The traditional (unweighted) k-means is one of the most popular clustering methods for analyzing gene expression data. However, it suffers three major shortcomings. It...
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BMCBI
2008
14 years 11 months ago
2008
Background: At intermediate stages of genome assembly projects, when a number of contigs have been generated and their validity needs to be verified, it is desirable to align thes...
PKDD
2010
Springer
14 years 10 months ago
2010
Springer
Abstract. Semi-supervised clustering models, that incorporate user provided constraints to yield meaningful clusters, have recently become a popular area of research. In this paper...