Accession Number:

ADA002201

Title:

Clustering by Scenario with Special Application to Two-Way Tables of Counts,

Descriptive Note:

Corporate Author:

RAND CORP SANTA MONICA CALIF

Personal Author(s):

• Cleveland,William S.
• Relles,Daniel A.

Report Date:

1973-10-01

Pagination or Media Count:

27.0

Abstract:

The formation of a partition of objects, each with an associated random measurement X, is given operational meaning and a figure of merit. The information about X given each object is first reduced to information about X given the cluster in the partition to which that object belongs. The figure of merit for a partition is then the probability of a correct object identification, on the basis of a realization of X, after the information loss. This leads both to a method for evaluating partitions and a clustering algorithm. The methods are discussed in the context of a particular example--clustering states in a two-way table of counts states by nationality of U.S. residents in 1970 who were foreign-born or had at least one foreign-born parent.

Descriptors:

• *DEMOGRAPHY
• *CLUSTERING
• ALGORITHMS
• STOCHASTIC PROCESSES
• DISTRIBUTION FUNCTIONS

Subject Categories:

• Sociology and Law
• Statistics and Probability

Distribution Statement:

APPROVED FOR PUBLIC RELEASE