157 search results - page 8 / 32 » Applying Discrete PCA in Data Analysis |
JSAI
2001
Springer
13 years 12 months ago
2001
Springer
Basket Analysis is the most representative approach in recent study of data mining. However, it cannot be directly applied to the data including numeric data. In this paper, we cl...
SDM
2007
SIAM
13 years 8 months ago
2007
SIAM
We propose an efficient algorithm for principal component analysis (PCA) that is applicable when only the inner product with a given vector is needed. We show that Krylov subspace...
COMPLEX
2009
Springer
14 years 2 months ago
2009
Springer
To probe network characteristics, two predominant ways of network comparison are global property statistics and subgraph enumeration. However, they suffer from limited information...
VDA
2010
13 years 9 months ago
2010
The analysis of high-dimensional data is an important, yet inherently difficult problem. Projection techniques such as PCA, MDS, and SOM can be used to map high-dimensional data t...
BMCBI
2007
13 years 7 months ago
2007
Background: Regulation of gene expression is relevant to many areas of biology and medicine, in the study of treatments, diseases, and developmental stages. Microarrays can be use...