The p-median problem for cluster analysis: a comparative test using the mixture model approach
Article Abstract:
Use of p-median statements to facilitate analysis of cluster problems is discussed for a special set of cluster analyses in which the solutions involve grouping objects with vectors so that objects in the same group are more alike than objects in other groupings. The analysis of the p-median approach employs a number of algorithms applied to a set of objects randomly selected from multivariate populations of objects. The analysis also assesses each algorithm's ability to identify original populations of objects. Results for the various algorithms are discussed in order to determine the validity of the p-median approach to cluster analysis problems.
Publication Name: Management Science
Subject: Business, general
ISSN: 0025-1909
Year: 1985
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A robust credit screening model using categorical data
Article Abstract:
Credit screening can be modeled as a process, using linear discriminant analysis or mathematical programming (when the data are binary), from which model algorithms can be developed to assist in making credit-granting decisions. The two types of modeling methods are analyzed and compared, using practical applications. The mathematical programming model is shown to be flexible and effective. Moreover, implementation of the mathematically programmed screening rules by a public utility is demonstrated to have been proven economically beneficial for both the utility and its customer base.
Publication Name: Management Science
Subject: Business, general
ISSN: 0025-1909
Year: 1985
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Lead user analyses for the development of new industrial products
Article Abstract:
A 'lead user' idea was suggested recently for developing new products in fields characterized by rapid change. Market research is integrated within this lead user technique and a test of it reported for the rapidly changing field of computer-aided systems for printed circuit board design. Lead users were located and proved to possess unique and helpful information about both new product needs and solutions.
Publication Name: Management Science
Subject: Business, general
ISSN: 0025-1909
Year: 1988
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