Methodologies of officer billet classification.
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Authors
Lemke, Juergen
Subjects
cluster analysis
numerical classification
job classification
officer billet classification
numerical classification
job classification
officer billet classification
Advisors
Read, R.R.
Date of Issue
1976-09
Date
September 1976
Publisher
Monterey, California. Naval Postgraduate School
Language
en_US
Abstract
Four potentially valuable methods to classify officer
billets into subgroups on the basis of multivariate observations
about the billets are presented. The methods aiming to
reduce the dimensionality and to identify homogeneous subgroups
are: Principal Component Analysis, Multidimensional
Scaling, Hierarchical Cluster nalysis (Hiclust) and Cluster
Analysis Optimizing an Objective Function (K-Means) . They
are applied to a data set obtained from an outside source and
comprising 96 Navy officer billets. Thirteen quantitative
variables measuring the relative amount of time spent for
managerial responsibilities and resources have been entered
into the analysis. On the basis of the entered variables,
the presence of eight billet clusters have been determined.
The evolved groups are described by their centroids and
within-group standard deviations.
Type
Thesis
Description
Series/Report No
Department
Operations Research
Organization
Naval Postgraduate School (U.S.)
Identifiers
NPS Report Number
Sponsors
Funder
Format
Citation
Distribution Statement
Approved for public release; distribution is unlimited.
Rights
Copyright is reserved by the copyright owner