122 search results - page 6 / 25 » Scalable and Interpretable Data Representation for High-Dime... |
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...
101
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BMCBI
2010
14 years 10 months ago
2010
Background: Visualization of DNA microarray data in two or three dimensional spaces is an important exploratory analysis step in order to detect quality issues or to generate new ...
101
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SSDBM
2007
IEEE
15 years 4 months ago
2007
IEEE
In high dimensional data, clusters often only exist in arbitrarily oriented subspaces of the feature space. In addition, these so-called correlation clusters may have complex rela...
ICMLA
2007
14 years 12 months ago
2007
Optimal Component Analysis (OCA) is a linear method for feature extraction and dimension reduction. It has been widely used in many applications such as face and object recognitio...
176
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ICDE
2006
IEEE
15 years 11 months ago
2006
IEEE
"Sparse" data, in which relations have many attributes that are null for most tuples, presents a challenge for relational database management systems. If one uses the no...