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AUSAI
2007
Springer
14 years 1 months ago
2007
Springer
Dimensional reduction may be effective in order to compress data without loss of essential information. Also, it may be useful in order to smooth data and reduce random noise. The...
KDD
2004
ACM
14 years 8 months ago
2004
ACM
Extensive studies have shown that mining microarray data sets is important in bioinformatics research and biomedical applications. In this paper, we explore a novel type of genesa...
KDD
2009
ACM
14 years 8 months ago
2009
ACM
The aim of data mining is to find novel and actionable insights in data. However, most algorithms typically just find a single (possibly non-novel/actionable) interpretation of th...
KDD
2002
ACM
14 years 8 months ago
2002
ACM
The goal of clustering is to identify distinct groups in a dataset. Compared to non-parametric clustering methods like complete linkage, hierarchical model-based clustering has th...
ICDM
2006
IEEE
14 years 1 months ago
2006
IEEE
Most clustering algorithms are partitional in nature, assigning each data point to exactly one cluster. However, several real world datasets have inherently overlapping clusters i...