191 search results - page 26 / 39 » CDP Mixture Models for Data Clustering |
IDEAL
2010
Springer
14 years 7 months ago
2010
Springer
: Covariance matrices capture correlations that are invaluable in modeling real-life datasets. Using all d2 elements of the covariance (in d dimensions) is costly and could result ...
KDD
2010
ACM
15 years 1 months ago
2010
ACM
Mining cluster evolution from multiple correlated time-varying text corpora is important in exploratory text analytics. In this paper, we propose an approach called evolutionary h...
SSPR
2004
Springer
15 years 3 months ago
2004
Springer
We present a novel clustering method using HMM parameter space and eigenvector decomposition. Unlike the existing methods, our algorithm can cluster both constant and variable leng...
110
click to vote
ADAC
2010
14 years 9 months ago
2010
Abstract We propose a procedure based on a latent variable model for the comparison of two partitions of different units described by the same set of variables. The null hypothesis...
KDD
2006
ACM
15 years 10 months ago
2006
ACM
This paper presents a novel Second Order Cone Programming (SOCP) formulation for large scale binary classification tasks. Assuming that the class conditional densities are mixture...