Clustering methods

Citations: ective clustering methods for spatial data mining - Ng, Han ...
R. Ng and J. Han. EFcient and e ective clustering methods for spatial data mining. In Proceedings of 20th VLDB Conference, 1994. (more...)

Clustering Methods for Multi-Resolution Simulation Modeling?
Clustering Methods for Multi-Resolution Simulation Modeling ? C.G. Cassandras, C.G. Panayiotou Dept of Manufacturing Eng., Boston University, Boston, MA 02215 G. (more...)

Clustering methods
Next: Projection methods Up: METHODS FOR EXPLORATORY DATA Previous: Visualization of high-dimensional data . Clustering methods   The goal of clustering is to reduce the amount of ... (more...)

Clustering Methods and Their Uses in Computational Chemistry
CHAPTER1 Clustering Methods and Their Uses in Computational Chemistry GeoffM. Downs and John M. Barnard Barnard Chemical Information Ltd., 46 Uppergate Road, Stannington, Sheffield ... (more...)

Cluster analysis - Wikipedia, the free encyclopedia
Two-way clustering, co-clustering or biclustering are clustering methods where not only the objects are clustered but also the features of the objects, i.e., if the data is ... (more...)

Clustering Global Optimization Methods
Overview Clustering global optimization methods can be viewed as a modified form of the standard multistart procedure, which performs a local search from several points distributed ... (more...)

Citations: Clustering methods for video browsing and annotation ...
Di Zhong, HongJiang Zhang, and Shih-Fu Chang. Clustering methods for video browsing and annotation. Technical report, Columbia Univ., 1997. (more...)

Clustering Methods
Clustering Methods. The following notation is used, with lowercase symbols generally pertaining to observations and uppercase symbols pertaining to clusters: (more...)

Clustering Methods
Clustering Methods The number of clusters is a function of the smoothing parameters. The number of clusters tends to decrease as the smoothing parameters increase, but the ... (more...)

Clustering Methods
Clustering Methods. Most of the existing approaches to document clustering are based on either probabilistic methods, or distance and similarity measures (see ). Distance-based ... (more...)