5733 search results - page 201 / 1147 » Clustering Categorical Data |
171
click to vote
DAWAK
2009
Springer
16 years 1 months ago
2009
Springer
The appropriate choice of a method for imputation of missing data becomes especially important when the fraction of missing values is large and the data are of mixed type. The prop...
201
click to vote
KDD
2003
ACM
16 years 6 months ago
2003
ACM
Support vector machines (SVMs) have been promising methods for classification and regression analysis because of their solid mathematical foundations which convey several salient ...
182
click to vote
CSDA
2011
15 years 1 months ago
2011
Reduced-rank decompositions provide descriptions of the variation among the elements of a matrix or array. In such decompositions, the elements of an array are expressed as produc...
185
click to vote
INFOVIS
1999
IEEE
15 years 10 months ago
1999
IEEE
A new method is presented to get insight into univariate time series data. The problem addressed here is how to identify patterns and trends on multiple time scales (days, weeks, ...
185
click to vote
PAMI
2008
15 years 5 months ago
2008
We present a novel probabilistic latent variable model to perform linear dimensionality reduction on data sets which contain clusters. We prove that the maximum likelihood solution...