3721 search results - page 129 / 745 » Discriminative cluster analysis |
148
click to vote
PAKDD
2009
ACM
16 years 20 days ago
2009
ACM
Spectral clustering refers to a flexible class of clustering procedures that can produce high-quality clusterings on small data sets but which has limited applicability to large-...
105
Voted
ICDM
2003
IEEE
15 years 8 months 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-...
144
click to vote
MLMTA
2007
15 years 4 months ago
2007
- Clustering plays an indispensable role for data analysis. Many clustering algorithms have been developed. However, most of them suffer either poor performance of unsupervised lea...
265
click to vote
FUIN
2011
14 years 7 months ago
2011
In this article, a novel concept is introduced by using both unsupervised and supervised learning. For unsupervised learning, the problem of fuzzy clustering in microarray data as ...
126
Voted
BMCBI
2008
15 years 3 months ago
2008
Background: Classification of protein sequences is a central problem in computational biology. Currently, among computational methods discriminative kernel-based approaches provid...