177 search results - page 17 / 36 » K-means clustering via principal component analysis |
CLASSIFICATION
2006
13 years 7 months ago
2006
Abstracts "Mixtures at the Interface" David Scott, Rice University Mixture modeling provides an effective framework for complex, high-dimensional data. The potential of m...
CIKM
2010
Springer
13 years 6 months ago
2010
Springer
This paper presents a novel approach for the visualization and clustering of crowd video contents by using multilinear principal component analysis (MPCA). In contrast to feature-...
SYNASC
2007
IEEE
14 years 1 months ago
2007
IEEE
In recent years several models have been proposed for text categorization. Within this, one of the widely applied models is the vector space model (VSM), where independence betwee...
FIMH
2011
Springer
12 years 11 months ago
2011
Springer
In this paper, we present an effective algorithm to construct a 3D shape atlas for the left ventricle of heart from cardiac Magnetic Resonance Image data. We derive a framework tha...
JIIS
2002
13 years 7 months ago
2002
Our research aims at discovering useful knowledge from the large collection of satellite images of typhoons using data mining approaches. We first introduce the creation of the typ...