504 search results - page 18 / 101 » PCS: An Efficient Clustering Method for High-Dimensional Dat... |
ICPR
2002
IEEE
14 years 18 days ago
2002
IEEE
Kernel functions can be viewed as a non-linear transformation that increases the separability of the input data by mapping them to a new high dimensional space. The incorporation ...
CCGRID
2006
IEEE
13 years 11 months ago
2006
IEEE
P2P systems represent a large portion of the Internet traffic which makes the data discovery of great importance to the user and the broad Internet community. Hence, the power of ...
FSKD
2006
Springer
13 years 11 months ago
2006
Springer
Nearest neighbor classifier is a widely-used effective method for multi-class problems. However, it suffers from the problem of the curse of dimensionality in high dimensional spac...
ICPR
2004
IEEE
14 years 8 months ago
2004
IEEE
Important factors affecting the efficiency and performance of the nearest neighbor classifier (NNC) are space, classification time requirements and for high dimensional data, due ...
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 ...