56 search results - page 1 / 12 » Finding Clusters and Components by Unsupervised Learning |
SSPR
2004
Springer
14 years 4 months ago
2004
Springer
We present a tutorial survey on some recent approaches to unsupervised machine learning in the context of statistical pattern recognition. In statistical PR, there are two classica...
ENGL
2007
13 years 10 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...
ICML
2004
IEEE
14 years 11 months ago
2004
IEEE
Principal component analysis (PCA) is a widely used statistical technique for unsupervised dimension reduction. K-means clustering is a commonly used data clustering for unsupervi...
FGR
2004
IEEE
14 years 2 months ago
2004
IEEE
We present a new unsupervised learning technique for the discovery of temporal clusters in large data sets. Our method performs hierarchical decomposition of the data to find stru...
DATAMINE
2006
13 years 11 months ago
2006
Clustering with partial supervision finds its application in situations where data is neither entirely nor accurately labeled. This paper discusses a semisupervised clustering algo...