Title :
Clustering with Prototype Entity Selection in Data Mining
Author :
Kovacs, Eva ; Ignat, Dr Ing Iosif
Author_Institution :
Dept. of Comput. Sci., Tech. Univ. of Cluj-Napoca
Abstract :
This paper presents an original classification method used in data mining, namely, the clustering with prototype entity selection (abbreviated CPES). The paper describes its mathematical essence, presents the algorithm and the experimental results obtained as compared to other methods of classification
Keywords :
data mining; pattern classification; pattern clustering; classification method; data clustering; data mining; mathematical essence; prototype entity selection; Algorithm design and analysis; Automation; Clustering algorithms; Computer science; Data analysis; Data mining; Databases; Predictive models; Prototypes; Runtime; clustering; data mining;
Conference_Titel :
Automation, Quality and Testing, Robotics, 2006 IEEE International Conference on
Conference_Location :
Cluj-Napoca
Print_ISBN :
1-4244-0360-X
Electronic_ISBN :
1-4244-0361-8
DOI :
10.1109/AQTR.2006.254572
