766 search results - page 56 / 154 » Clustering high dimensional data using subspace and projecte... |
IPPS
2010
IEEE
13 years 6 months ago
2010
IEEE
Complex networks capture interactions among entities in various application areas in a graph representation. Analyzing large scale complex networks often answers important question...
HIS
2009
13 years 6 months ago
2009
In this paper, we propose a vector quantization (VQ) -based information hiding scheme that cluster the VQ codeowrds according the codewords' relation on Voronoi Diagram (VD). ...
EPIA
2005
Springer
14 years 2 months ago
2005
Springer
Self-organizing maps (SOM) have been recognized as a powerful tool in data exploratoration, especially for the tasks of clustering on high dimensional data. However, clustering on ...
BIBE
2004
IEEE
14 years 14 days ago
2004
IEEE
Clustering has been one of the most popular methods to discover useful biological insights from DNA microarray. An interesting paradigm is simultaneous clustering of both genes an...
ICCV
2011
IEEE
12 years 8 months ago
2011
IEEE
Linear subspace learning (LSL) is a popular approach to image recognition and it aims to reveal the essential features of high dimensional data, e.g., facial images, in a lower di...