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Enterobacteriaceae Taxonomy Approached by Minimization of Stochastic Complexity

✍ Scribed by Helge G. Gyllenberg; Mats Gyllenberg; Timo Koski; Tatu Lund; Jiri Schindler

Book ID
110285270
Publisher
Springer
Year
1999
Tongue
English
Weight
85 KB
Volume
1
Category
Article
ISSN
1572-9923

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Classification of Binary Vectors by Stochastic Complexity
✍ Mats Gyllenberg; Timo Koski; Martin Verlaan πŸ“‚ Article πŸ“… 1997 πŸ› Elsevier Science 🌐 English βš– 336 KB

Stochastic complexity is treated as a tool of classification, i.e., of inferring the number of classes, the class descriptions, and the class memberships for a given data set of binary vectors. The stochastic complexity is evaluated with respect to the family of statistical models defined by finite