343 search results - page 4 / 69 » An effective and efficient algorithm for high-dimensional ou... |
APWEB
2006
Springer
13 years 9 months ago
2006
Springer
Clustering is to identify densely populated subgroups in data, while correlation analysis is to find the dependency between the attributes of the data set. In this paper, we combin...
ICPR
2006
IEEE
14 years 7 months ago
2006
IEEE
Microarray data provides quantitative information about the transcription profile of cells. To analyze microarray datasets, methodology of machine learning has increasingly attrac...
ICDE
2008
IEEE
14 years 7 months ago
2008
IEEE
Abstract-- In recent years, data streams have become ubiquitous because of advances in hardware and software technology. The ability to adapt conventional mining problems to data s...
CVPR
2004
IEEE
14 years 8 months ago
2004
IEEE
Classifying high-dimensional numerical data is a very challenging problem. In high dimensional feature spaces, the performance of supervised learning methods suffer from the curse...
ICDM
2003
IEEE
13 years 11 months ago
2003
IEEE
Clustering is the process of grouping a set of objects into classes of similar objects. Because of unknownness of the hidden patterns in the data sets, the definition of similari...