Title :
Hierarchical Clustering Algorithms for Large Datasets
Author :
Stekh, Yuri ; Kernytskyy, A. ; Lobur, Mykhaylo
Author_Institution :
Lviv Polytech Nat. Univ., Lviv
fDate :
Feb. 28 2006-March 4 2006
Abstract :
This paper focuses on document clustering algorithms that build hierarchical solutions. In this paper is evaluate the performance of different criterion functions for the problem of clustering documents.
Keywords :
document handling; pattern clustering; document clustering algorithms; document datasets; hierarchical clustering algorithms; Clustering algorithms; Euclidean distance; Frequency measurement; Length measurement; Navigation; Organizing; Visualization; Clustering algorithm; Criterion function; Document datasets;
Conference_Titel :
Modern Problems of Radio Engineering, Telecommunications, and Computer Science, 2006. TCSET 2006. International Conference
Conference_Location :
Lviv-Slavsko
Print_ISBN :
966-553-507-2
DOI :
10.1109/TCSET.2006.4404560
