114 search results - page 11 / 23 » OP-Cluster: Clustering by Tendency in High Dimensional Space |
BMCBI
2010
13 years 2 months ago
2010
Background: A new paradigm of biological investigation takes advantage of technologies that produce large high throughput datasets, including genome sequences, interactions of pro...
FSKD
2007
Springer
14 years 1 months ago
2007
Springer
A proposed KFCM-based fuzzy classifier was introduced. As for the process of constructing such classifier, firstly, the original sample space is mapped into a high dimensional fea...
IDEAL
2003
Springer
14 years 21 days ago
2003
Springer
To reduce the high dimensionality required for training of feature vectors in speaker identification, we propose an efficient GMM based on local PCA with Fuzzy clustering. The prop...
ICCSA
2005
Springer
14 years 1 months ago
2005
Springer
In this paper, we propose a new clustering procedure for high dimensional microarray data. Major difficulty in cluster analysis of microarray data is that the number of samples to ...
IJCAI
2001
13 years 8 months ago
2001
Extracting rules from RBFs is not a trivial task because of nonlinear functions or high input dimensionality. In such cases, some of the hidden units of the RBF network have a ten...