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97
Voted
CSMR
2004
IEEE
15 years 4 months ago
2004
IEEE
The recovery of software architecture is a first important step towards re-engineering a software system. Architecture recovery usually involves clustering. The problem with curre...
124
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ICDM
2010
IEEE
14 years 10 months ago
2010
IEEE
In recent years, many networks have become available for analysis, including social networks, sensor networks, biological networks, etc. Graph clustering has shown its effectivenes...
111
Voted
CVPR
2008
IEEE
16 years 2 months ago
2008
IEEE
Linear Discriminant Analysis (LDA), which works by maximizing the within-class similarity and minimizing the between-class similarity simultaneously, is a popular dimensionality r...
95
Voted
BMCBI
2006
15 years 22 days ago
2006
Background: Microarrays measure the binding of nucleotide sequences to a set of sequence specific probes. This information is combined with annotation specifying the relationship ...
124
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PAKDD
2001
ACM
15 years 5 months ago
2001
ACM
Data clustering methods have many applications in the area of data mining. Traditional clustering algorithms deal with quantitative or categorical data points. However, there exist...