298 search results - page 53 / 60 » Subspace Clustering of High Dimensional Data |
96
Voted
ICML
2007
IEEE
16 years 1 months ago
2007
IEEE
We study the problem of discovering a manifold that best preserves information relevant to a nonlinear regression. Solving this problem involves extending and uniting two threads ...
112
Voted
IJPRAI
2008
15 years 11 days ago
2008
unsupervised construction of topological maps, which provide an abstraction of the environment in terms of visual aspects. An unsupervised clustering algorithm is used to represent...
99
Voted
ISCC
2006
IEEE
15 years 6 months ago
2006
IEEE
P2P systems are increasingly used to discover and share various data between users. The performance of a P2P based information retrieval system is determined by the efficiency of...
ACSC
2005
IEEE
15 years 6 months ago
2005
IEEE
The Self-Organizing Map (SOM) is one of the popular Artificial Neural Networks which is a useful in clustering and visualizing complex high dimensional data. Conventional SOMs are...
GECCO
2007
Springer
15 years 6 months ago
2007
Springer
The main motivation for using a multi–objective evolutionary algorithm for finding biclusters in gene expression data is motivated by the fact that when looking for biclusters ...