The research will deal with the broad area of cluster analysis. Cluster analysis is classification of objects in to groups of similar ones. The principal investigator has been a pioneer in the field of cluster analysis. He will investigate several statistical problems connected with clustering. The major problems with the clustering algorithms are to answer the following four questions. (1) How many clusters? (2) Are the clusters real? (3) Are the clusters reliable? and (4) What algorithms should be used. Statistical methods will help answer these questions. Multivariate density estimation procedures will be used. Some of these techniques are used in spatial analysis as well.

Agency
National Science Foundation (NSF)
Institute
Division of Mathematical Sciences (DMS)
Application #
8617919
Program Officer
Peter Arzberger
Project Start
Project End
Budget Start
1987-08-15
Budget End
1991-01-31
Support Year
Fiscal Year
1986
Total Cost
$257,560
Indirect Cost
Name
Yale University
Department
Type
DUNS #
City
New Haven
State
CT
Country
United States
Zip Code
06520