2596 search results - page 142 / 520 » Classes and clusters in data analysis |
VDA
2010
15 years 18 days ago
2010
The analysis of high-dimensional data is an important, yet inherently difficult problem. Projection techniques such as PCA, MDS, and SOM can be used to map high-dimensional data t...
90
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SIGIR
2006
ACM
15 years 4 months ago
2006
ACM
Co-occurrence data is quite common in many real applications. Latent Semantic Analysis (LSA) has been successfully used to identify semantic relations in such data. However, LSA c...
76
Voted
NAR
2010
14 years 5 months ago
2010
Babelomics is a response to the growing necessity of integrating and analyzing different types of genomic data in an environment that allows an easy functional interpretation of t...
88
Voted
APPT
2005
Springer
15 years 3 months ago
2005
Springer
Identifying the patterns of large data sets is a key requirement in data mining. A powerful technique for this purpose is the principal component analysis (PCA). PCA-based clusteri...
106
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ICASSP
2010
IEEE
14 years 8 months ago
2010
IEEE
Independent component analysis (ICA) has been successfully applied for the analysis of functional magnetic resonance imaging (fMRI) data. However, independence might be too strong...