23 search results - page 2 / 5 » Unsupervised Learning in Spectral Genome Analysis |
ICML
2004
IEEE
14 years 6 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...
ICML
2005
IEEE
14 years 6 months ago
2005
IEEE
Many unsupervised algorithms for nonlinear dimensionality reduction, such as locally linear embedding (LLE) and Laplacian eigenmaps, are derived from the spectral decompositions o...
SDM
2008
SIAM
13 years 6 months ago
2008
SIAM
Multiple view data, which have multiple representations from different feature spaces or graph spaces, arise in various data mining applications such as information retrieval, bio...
JMLR
2010
13 years 6 days ago
2010
In this paper, we introduce an assumption which makes it possible to extend the learning ability of discriminative model to unsupervised setting. We propose an informationtheoreti...
KDD
2004
ACM
14 years 5 months ago
2004
ACM
Unsupervised identification of patterns in microarray data has been a productive approach to uncovering relationships between genes and the biological process in which they are in...