Automated Construction Of Classifications Conceptual Clustering Versus Numerical Taxonomy

Automated Construction Of Classifications Conceptual Clustering Versus Numerical Taxonomy (1983)

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by Ryszard S. Michalski , Robert Stepp

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Datum	Value	Source
TITLE	Automated Construction Of Classifications Conceptual Clustering Versus Numerical Taxonomy	user correction - Legacy Corrections
AUTHOR NAME	Ryszard S. Michalski	user correction - Legacy Corrections
AUTHOR ADDR	396	user correction - Legacy Corrections
AUTHOR NAME	Robert Stepp	user correction - Legacy Corrections
ABSTRACT	A method for automated construction of classifications called conceptual clustering is described and compared to methods used in numerical taxonomy. This method arranges objects into classes rep- resenting certain descriptive concepts, rather than into.classes defined solely by a similarity metric in some a priori defined attribute space. A specific form of the method is conjunctive conceptual clustering, in which descriptive concepts are conjunetive statements involving rela- tions on selected object attributes and optimized aeeording to an assumed global criterion of clustering quality. The method, implemented in program CLUSTER/2, is tested together with 18 numerical taxonomy methods on two exemplary problems: 1) a construction of a classification of popular microcomputers and 2) the reconstruction of a classification of selected plant disease categories. In both experiments, the majority of numerical taxonomy methods (14 out of 18) produced results which were difficult to interpret and seemed to be arbitrary. In contrast to this, the conceptual clustering method produced results that had a simple interpretation and corresponded well to solutions pre- ferred by people.	user correction - Legacy Corrections
YEAR	1983	user correction - Legacy Corrections
CITATIONS	19 found	ParsCit 1.0