349 search results - page 54 / 70 » Information Preserving Dimensionality Reduction |
ICDM
2006
IEEE
15 years 3 months ago
2006
IEEE
High dimensionality remains a significant challenge for document clustering. Recent approaches used frequent itemsets and closed frequent itemsets to reduce dimensionality, and to...
GRC
2010
IEEE
14 years 11 months ago
2010
IEEE
Inference of latent variables from complicated data is one important problem in data mining. The high dimensionality and high complexity of real world data often make accurate infe...
120
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BMCBI
2005
14 years 9 months ago
2005
Background: The use of mass spectrometry as a proteomics tool is poised to revolutionize early disease diagnosis and biomarker identification. Unfortunately, before standard super...
163
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SDM
2011
SIAM
14 years 19 days ago
2011
SIAM
Latent semantic analysis (LSA), as one of the most popular unsupervised dimension reduction tools, has a wide range of applications in text mining and information retrieval. The k...
KDD
2006
ACM
15 years 10 months ago
2006
ACM
Calculation of object similarity, for example through a distance function, is a common part of data mining and machine learning algorithms. This calculation is crucial for efficie...