2907 search results - page 126 / 582 » Trust analysis with clustering |
159
click to vote
ICDM
2007
IEEE
16 years 1 months ago
2007
IEEE
Typical clustering algorithms output a single clustering of the data. However, in real world applications, data can often be interpreted in many different ways; data can have diff...
197
Voted
ICDM
2003
IEEE
16 years 8 days ago
2003
IEEE
Clustering is an important technique for understanding and analysis of large multi-dimensional datasets in many scientific applications. Most of clustering research to date has be...
222
Voted
CGF
2011
14 years 10 months ago
2011
High-dimensional data visualization is receiving increasing interest because of the growing abundance of highdimensional datasets. To understand such datasets, visualization of th...
191
Voted
IJON
2006
15 years 7 months ago
2006
In this paper, it is shown that Independent Component Analysis (ICA) of sparse signals (sparse ICA) can be seen as a cluster-wise Principal Component Analysis (PCA). Consequently,...
221
click to vote
IJCNN
2000
IEEE
15 years 11 months ago
2000
IEEE
Fuzzy c-varieties (FCV) is one of the clustering algorithms in which the prototypes are multi-dimensional linear varieties. The linear varieties are represented by some local prin...