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Classification of variety musts by statistical analysis of their electrophoretic protein pattern
- Publication Year :
- 1989
-
Abstract
- Unsupervised classification techniques (Principal Components Analysis and Cluster Analysis) have been applied to electrophoretic analytical data from seventeen grape must samples of six different cultivars. A good grouping of samples according to their cultivar has been obtained.
Details
- Database :
- OAIster
- Publication Type :
- Electronic Resource
- Accession number :
- edsoai.on1293837457
- Document Type :
- Electronic Resource