436 search results - page 13 / 88 » Automatic Subspace Clustering of High Dimensional Data for D... |
KDD
2006
ACM
14 years 8 months ago
2006
ACM
Linear and Quadratic Discriminant Analysis have been used widely in many areas of data mining, machine learning, and bioinformatics. Friedman proposed a compromise between Linear ...
ICDM
2003
IEEE
14 years 27 days 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...
CIDM
2007
IEEE
14 years 2 months ago
2007
IEEE
— In recent applications of clustering such as gene expression microarray analysis, collaborative filtering, and web mining, object similarity is no longer measured by physical ...
KDD
2008
ACM
14 years 8 months ago
2008
ACM
The success of popular algorithms such as k-means clustering or nearest neighbor searches depend on the assumption that the underlying distance functions reflect domain-specific n...
KDD
2002
ACM
14 years 8 months ago
2002
ACM
This paper studies the problem of categorical data clustering, especially for transactional data characterized by high dimensionality and large volume. Starting from a heuristic m...