3237 search results - page 81 / 648 » Clustering by Regression Analysis |
144
click to vote
CIKM
2009
Springer
15 years 10 months ago
2009
Springer
In this work, we show the importance of multidimensional opinion representation in the political context combining domain knowledge and results from principal component analysis. ...
162
click to vote
ICB
2009
Springer
16 years 21 days ago
2009
Springer
Linear discriminant analysis (LDA) is a popular method in pattern recognition and is equivalent to Bayesian method when the sample distributions of different classes are obey to t...
155
click to vote
ICASSP
2009
IEEE
16 years 26 days ago
2009
IEEE
The mean of a data set is one trivial representation of data from one class. Recently, mutual interdependence analysis (MIA) has been successfully used to extract more involved re...
194
click to vote
IJCNN
2006
IEEE
16 years 5 days ago
2006
IEEE
With very noisy data, having plentiful samples eliminates overfitting in nonlinear regression, but not in nonlinear principal component analysis (NLPCA). To overcome this problem...
163
click to vote
PRIS
2007
15 years 7 months ago
2007
Interval data is attracting attention from the data analysis community due to its ability to describe complex concepts. Since clustering is an important data analysis tool, extendi...