Abstract
Discriminant analysis, a classical statistical technique largely used for biological studies of plants and animal populations, has a high potential for applications in management and modeling multivariate systems because it reduces large multivariate systems to its natural subpopulations or cohorts. A collection of classical approaches in discriminant analysis in univariate and multivariate contexts is reviewed here together with a new development for straightforward applications.
| Original language | English |
|---|---|
| Title of host publication | Current Research in Modelling, Data Mining & Quantitative Techniques |
| Publisher | University of Western Sydney |
| Number of pages | 17 |
| ISBN (Electronic) | 0975159909 |
| ISBN (Print) | 9780975159903 |
| Publication status | Published - 2003 |
| Event | Workshop on Advanced Research Methods - Duration: 1 Jan 2003 → … |
Conference
| Conference | Workshop on Advanced Research Methods |
|---|---|
| Period | 1/01/03 → … |
Keywords
- discriminant analysis
- data processing
- multivariate analysis
- data mining
- classification
- analysis of variance
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