436 search results - page 29 / 88 » Automatic Subspace Clustering of High Dimensional Data for D... |
ICDM
2003
IEEE
14 years 29 days ago
2003
IEEE
Pattern-based clustering is important in many applications, such as DNA micro-array data analysis, automatic recommendation systems and target marketing systems. However, pattern-...
ICDM
2007
IEEE
14 years 2 months ago
2007
IEEE
Support vector clustering transforms the data into a high dimensional feature space, where a decision function is computed. In the original space, the function outlines the bounda...
ICDM
2007
IEEE
14 years 2 months ago
2007
IEEE
Typical clustering algorithms output a single clustering of the data. However, in real world applications, data can often be interpreted in many different ways; data can have diff...
KDD
2004
ACM
14 years 1 months ago
2004
ACM
Using SQL has not been considered an efficient and feasible way to implement data mining algorithms. Although this is true for many data mining, machine learning and statistical a...
SSDBM
2007
IEEE
14 years 1 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...