177 search results - page 12 / 36 » K-means clustering via principal component analysis |
ENGL
2007
13 years 7 months ago
2007
— The paper aims at designing a scheme for automatic identification of a species from its genome sequence. A set of 64 three-tuple keywords is first generated using the four type...
IPMI
2007
Springer
14 years 8 months ago
2007
Springer
Automated medical image segmentation is a challenging task that benefits from the use of effective image appearance models. In this paper, we compare appearance models at three reg...
ISNN
2004
Springer
14 years 27 days ago
2004
Springer
This paper proposes a novel clustering analysis algorithm based on principal component analysis (PCA) and self-organizing maps (SOMs) for clustering the gene expression patterns. T...
ICMCS
2006
IEEE
14 years 1 months ago
2006
IEEE
EM algorithm is an important unsupervised clustering algorithm, but the algorithm has several limitations. In this paper, we propose a fast EM algorithm (FEMA) to address the limi...
CVPR
2009
IEEE
15 years 3 months ago
2009
IEEE
We propose a geometric method for visual tracking, in which the 2-D affine motion of a given object template is estimated in a video sequence by means of coordinateinvariant partic...