Clustering Navy Rating by Loss Behavior

Abstract

The enlisted Navy Ratings were clustered by their historical loss behavior, using a hierarchical clustering technique. The immediate application of this clustering technique was to investigate pooling of loss data to improve loss estimation. No significant improvement in loss estimation was found by clustering. Examples of other potential uses for this clustering technique include isolation of groups of ratings to which a common policy regarding loss, reenlistment, etc., may apply.

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Document Details

Document Type
Technical Report
Publication Date
Jun 01, 1975
Accession Number
ADA522403

Entities

People

  • P. R. Milch
  • R. W. Butterworth

Organizations

  • Naval Postgraduate School

Tags

Communities of Interest

  • Human Systems
  • Weapons Technologies

DTIC Thesaurus Topics

  • Acquisition
  • California
  • Classification
  • Clustering
  • Coefficients
  • Construction
  • Data Processing
  • Databases
  • Delphi Method
  • Force Structure
  • Histograms
  • Imagery Intelligence
  • Naval Personnel
  • Ratings
  • Security
  • Statistics
  • Technicians

Readers

  • Auditory Neuroscience/Auditory Physiology.
  • Naval Personnel Management
  • Regression Analysis.