114 search results - page 13 / 23 » OP-Cluster: Clustering by Tendency in High Dimensional Space |
ICDM
2008
IEEE
14 years 1 months ago
2008
IEEE
We present a new visualization of the distance and cluster structure of high dimensional data. It is particularly well suited for analysis tasks of users unfamiliar with complex d...
TSMC
2010
13 years 2 months ago
2010
In this paper, we propose two novel techniques, which successfully address several major problems in the field of particle swarm optimization (PSO) and promise a significant breakt...
IDEAL
2004
Springer
14 years 26 days ago
2004
Springer
Microarray datasets are often too large to visualise due to the high dimensionality. The self-organising map has been found useful to analyse massive complex datasets. It can be us...
PAMI
2011
13 years 2 months ago
2011
—In solving complex visual learning tasks, adopting multiple descriptors to more precisely characterize the data has been a feasible way for improving performance. The resulting ...
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...