Title :
An incremental clustering of gene expression data
Author :
Das, Rosy ; Bhattacharyya, Dhruba K. ; Kalita, Jugal K.
Author_Institution :
Dept. of Comput. Sci. & Eng., Tezpur Univ., Tezpur, India
Abstract :
This paper presents an incremental clustering algorithm based on DGC, a density-based algorithm we developed earlier. We experimented with real-life datasets and both methods perform satisfactorily. The methods have been compared with some well-known clustering algorithms and they perform well in terms of z-score cluster validity measure.
Keywords :
biology computing; data handling; data mining; pattern clustering; density-based algorithm; gene expression data; incremental clustering algorithm; real-life datasets; z-score cluster validity measure; Clustering algorithms; Clustering methods; Computer science; Data analysis; Data engineering; Data mining; Density measurement; Gene expression; Performance evaluation; Springs; Gene expression; clustering; density based; dissimilarity measure; incremental clustering;
Conference_Titel :
Nature & Biologically Inspired Computing, 2009. NaBIC 2009. World Congress on
Conference_Location :
Coimbatore
Print_ISBN :
978-1-4244-5053-4
DOI :
10.1109/NABIC.2009.5393848
