Multivariate classification methods are needed to assist in extracting information from analytical data. The most appropriate method for each problem must be chosen. The applicability of a method mainly depends on the distributional characteristics of the data population (normality, correlations bet
Interactive microcomputer version of the CLAS program for classification and evaluation
โ Scribed by Jan B. Hemel; Frans R. Hindriks; Hilko van der Voet; Durk A. Doornbos
- Publisher
- Elsevier Science
- Year
- 1987
- Tongue
- English
- Weight
- 291 KB
- Volume
- 6
- Category
- Article
- ISSN
- 0165-9936
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