Interactive Maximum Reliability Cluster Analysis
Bibliographic Data
| ID | 20284891 |
|---|---|
| Authors | Robert Mays (Civil Service College, London, corresponding author) |
| Year | 1978 |
| Volume | 38 |
| Issue | 3 |
| Pages | 783-785 |
| Publication date | 1978-10-01 |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | Educational and Psychological Measurement (JOURNAL) |
| Journal identifiers | ISSN: 0013-1644 • E-ISSN: 1552-3888 |
| Publisher | SAGE Publications (PUBLISHER • US) |
| DOI | 10.1177/001316447803800317 |
| OpenAlex | W2059343626 |
| Language | EN |
| Citations received | 1 |
| References cited | 1 |
A FORTRAN program for clustering variables using the alpha coefficient of reliability is described. For batch operation a unique rule for stopping the agglomerative procedure is available which maximises the internal reliability of successive clusters. The conversational version of the program allows the user to intervene in the stepwise process in order to test the final solution for sensitivity to changes in prior steps
Cluster (spacecraft) · Cluster analysis · Data mining · Fortran · Hierarchical clustering · Programming language · Reliability (semiconductor) · Reliability engineering · Sensitivity (control systems) · Statistics · Advanced Computational Techniques in Science and Engineering · Advanced Data Processing Techniques · Artificial Intelligence · Computer Science · COVID-19 epidemiological studies · Engineering · Mathematics
| Citations per year | 0.04 |
|---|---|
| Citation span | 2002 - 2002 (1) |
| Highly cited | No |