5733 search results - page 52 / 1147 » Clustering Categorical Data |
KDD
2005
ACM
14 years 10 months ago
2005
ACM
Clustering is the problem of identifying the distribution of patterns and intrinsic correlations in large data sets by partitioning the data points into similarity classes. This p...
DMIN
2008
13 years 11 months ago
2008
Clustering algorithms play an important role in data analysis and information retrieval. How to obtain a clustering for a large set of highdimensional data suitable for database ap...
AMAST
2008
Springer
14 years 3 days ago
2008
Springer
The authors have proposed using category-theoretic sketches to enhance database design and integration methodologies. The algebraic context is called the Sketch Data Model (SkDM) a...
ICPR
2006
IEEE
14 years 11 months ago
2006
IEEE
Each clustering algorithm induces a similarity between given data points, according to the underlying clustering criteria. Given the large number of available clustering technique...
BIBE
2003
IEEE
14 years 3 months ago
2003
IEEE
: - Facing the development of microarray technology, clustering is currently a leading technique to gene expression data analysis. In this paper, we propose a novel algorithm calle...