A new approach to clustering
Ruspini, Enrique H.. (1990) A new approach to clustering. Pattern Recognition, Volume 23 (Number 12). pp. 1413-1425. ISSN 0031-3203Full text not available from this repository.
Official URL: http://dx.doi.org/10.1016/S0019-9958(69)90591-9
A general formulation of data reduction and clustering processes is proposed. These procedures are regarded as mappings or transformations of the original space onto a “representation” or “code” space subjected to some constraints. Current clustering methods, as well as three other data reduction techniques, are specified within the framework of this formulation. A new method of representation of the reduced data, based on the idea of “fuzzy sets,” is proposed to avoid some of the problems of current clustering procedures and to provide better insight into the structure of the original data.
|Item Type:||Journal Article|
|Subjects:||Q Science > QA Mathematics > QA76 Electronic computers. Computer science. Computer software
T Technology > TK Electrical engineering. Electronics Nuclear engineering
|Divisions:||Faculty of Science > Computer Science|
|Journal or Publication Title:||Pattern Recognition|
|Number of Pages:||13|
|Page Range:||pp. 1413-1425|
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