Title :
Energy Description of Data Object and Clustering
Author :
Hsu, Daniel ; Johnson, Shardrom ; Yang, Ben
Author_Institution :
Sch. of Comput. Eng. & Sci., Shanghai Univ., Shanghai, China
Abstract :
Clustering is the hot spot in the study of data mining. In this paper, refer to the distillation of "energy", data object and clustering can be described by energy. With the function of clustering optimized by energy, energy driven about the user\´s demands will be brought into effect in all data-space, and all data object, including the outlier, is planed as a whole at the unified cognition platform. Through the experiment, a strategy of clustering optimized by energy is better than those which are just clustered based on density by using the CRCMD algorithm.
Keywords :
data mining; pattern clustering; data mining; data object; energy clustering; energy description; unified cognition platform; Clustering algorithms; Cognition; Computer science education; Data engineering; Data mining; Fuzzy systems; Knowledge engineering; Potential energy; Power engineering and energy; Systems engineering education; clustering; data mining; data object; density_based; energy description;
Conference_Titel :
Fuzzy Systems and Knowledge Discovery, 2009. FSKD '09. Sixth International Conference on
Conference_Location :
Tianjin
Print_ISBN :
978-0-7695-3735-1
DOI :
10.1109/FSKD.2009.376
