Autor: |
J. Schindler, Mats Gyllenberg, Tatu Lund, Helge Gyllenberg, Timo Koski |
Rok vydání: |
1999 |
Předmět: |
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Zdroj: |
Quantitative Microbiology. 1:7-28 |
ISSN: |
1388-3593 |
Popis: |
We present a method for building systematics when new knowledge is continuously accumulated. The resulting classification is self-correcting and improves itself by sorting new items as they are added to the material and studied. The formulation is based on Bayesian predictive probability distributions. A new item that has not yet been classified is assigned to the class that has maximal posterior probability or is made to form a group of its own. Such a cumulative classification depends on the order in which the items are classified. The introduction of an already classified training set considerably improves the repeatability of the method. As a case study we applied the method to a large data set for the Enterobacteriaceae. The resulting classifications corresponded well to the general structure of the prevailing taxonomy of Enterobacteriaceae. |
Databáze: |
OpenAIRE |
Externí odkaz: |
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