130 search results - page 11 / 26 » Fuzzy clustering with principal component analysis |
MICCAI
2009
Springer
15 years 10 months ago
2009
Springer
Model-based image segmentation requires prior information about the appearance of a structure in the image. Instead of relying on Principal Component Analysis such as in Statistica...
IPM
2006
14 years 9 months ago
2006
A methodology for automatically identifying and clustering semantic features or topics in a heterogeneous text collection is presented. Textual data is encoded using a low rank no...
106
Voted
APWEB
2006
Springer
15 years 1 months ago
2006
Springer
Clustering is to identify densely populated subgroups in data, while correlation analysis is to find the dependency between the attributes of the data set. In this paper, we combin...
BMCBI
2010
14 years 9 months ago
2010
Background: The clustered heat map is the most popular means of visualizing genomic data. It compactly displays a large amount of data in an intuitive format that facilitates the ...
74
Voted
CIBCB
2006
IEEE
14 years 11 months ago
2006
IEEE
In recent years, unsupervised gene (feature) selection has become an integral part of microarray analysis because of the large number of genes and complexity in biological systems....