Title :
Clustering and sorting multi-attribute objects in multiset metric space
Author :
Petrovsky, Alexey B.
Author_Institution :
Inst. for Syst. Anal., Russian Acad. of Sci., Moscow
Abstract :
The paper considers new techniques for clustering and sorting objects that are described with many quantitative and/or qualitative attributes and may exist in several copies with inconsistent and contradictory attributes. Methods are based on the theory of multiset metric spaces. New options for the objectspsila aggregation and features of classes generated are discussed.
Keywords :
pattern clustering; set theory; clustering; contradictory attributes; multiset metric space; qualitative attributes; quantitative attributes; sorting multiattribute objects; Combinatorial mathematics; Convolution; Cost accounting; Dictionaries; Extraterrestrial measurements; Graphics; Image recognition; Intelligent systems; Sorting; Thesauri; Classification; cluster analysis; multi-attribute objects; multiset metric space;
Conference_Titel :
Intelligent Systems, 2008. IS '08. 4th International IEEE Conference
Conference_Location :
Varna
Print_ISBN :
978-1-4244-1739-1
Electronic_ISBN :
978-1-4244-1740-7
DOI :
10.1109/IS.2008.4670507
