138 search results - page 8 / 28 » Approximated Clustering of Distributed High-Dimensional Data |
SSPR
2010
Springer
13 years 6 months ago
2010
Springer
Mixture models have been widely used for data clustering. However, commonly used mixture models are generally of a parametric form (e.g., mixture of Gaussian distributions or GMM),...
ICPP
2000
IEEE
14 years 1 days ago
2000
IEEE
Clustering is a data mining problem which finds dense regions in a sparse multi-dimensional data set. The attribute values and ranges of these regions characterize the clusters. ...
ICML
2005
IEEE
14 years 8 months ago
2005
IEEE
Linear discriminant analysis (LDA) has been an active topic of research during the last century. However, the existing algorithms have several limitations when applied to visual d...
NIPS
2000
13 years 9 months ago
2000
We present a novel method for clustering using the support vector machine approach. Data points are mapped to a high dimensional feature space, where support vectors are used to d...
SCHOLARPEDIA
2008
13 years 6 months ago
2008
We present a novel method for clustering using the support vector machine approach. Data points are mapped to a high dimensional feature space, where support vectors are used to d...