89 search results - page 12 / 18 » Unsupervised Clustering using Multi-Resolution Perceptual Gr... |
ECCV
2010
Springer
14 years 1 months ago
2010
Springer
Unsupervised learning requires a grouping step that defines which data belong together. A natural way of grouping in images is the segmentation of objects or parts of objects. Whi...
ECML
2006
Springer
14 years 26 days ago
2006
Springer
Abstract. This paper is about the evaluation of the results of clustering algorithms, and the comparison of such algorithms. We propose a new method based on the enrichment of a se...
BMCBI
2011
13 years 6 months ago
2011
Background: Cluster analysis is a crucial tool in several biological and medical studies dealing with microarray data. Such studies pose challenging statistical problems due to di...
IPPS
2003
IEEE
14 years 4 months ago
2003
IEEE
Clustering, or unsupervised classification, has many uses in fields that depend on grouping results from large amount of data, an example being the N-body cosmological simulation ...
NIPS
2003
14 years 8 days ago
2003
We propose an unsupervised methodology using independent component analysis (ICA) to cluster genes from DNA microarray data. Based on an ICA mixture model of genomic expression pa...