177 search results - page 9 / 36 » K-means clustering via principal component analysis |
KBSE
1999
IEEE
13 years 11 months ago
1999
IEEE
The paper describes the initial results of applying Latent Semantic Analysis (LSA) to program source code and associated documentation. Latent Semantic Analysis is a corpus-based ...
BMCBI
2010
13 years 7 months ago
2010
Background: Standardization of analytical approaches and reporting methods via community-wide collaboration can work synergistically with web-tool development to result in rapid c...
ICML
2009
IEEE
14 years 8 months ago
2009
IEEE
Training principles for unsupervised learning are often derived from motivations that appear to be independent of supervised learning. In this paper we present a simple unificatio...
FLAIRS
2010
13 years 9 months ago
2010
In this paper, we propose the application of standard decomposition approaches to find local correlations in multimodal data. In a test scenario, we apply these methods to correla...
ICML
2006
IEEE
14 years 8 months ago
2006
IEEE
Clustering is one of the most widely used statistical tools for data analysis. Among all existing clustering techniques, k-means is a very popular method because of its ease of pr...