Title :
A method for consistent estimation of compact regions for cluster analysis
Author :
Murthy, C.A. ; Majumder, D. Dutta
Author_Institution :
Dept. of Electron. & Commun. Sci., Indian Stat. Inst., Calcutta, India
Abstract :
The mathematical formulation of clustering problems is considered. An attempt is made to define and discover an abstract structure from the data on the basis of finitely many observations that are assumed to be in R2 using Euclidean distance as the dissimilarity measure. A consistent estimation and classification estimation procedure is provided for compact regions in R2 using a minimal spanning tree
Keywords :
pattern recognition; statistical analysis; trees (mathematics); Euclidean distance; cluster analysis; compact regions; consistent estimation; dissimilarity measure; minimal spanning tree; Classification tree analysis; Clustering algorithms; Clustering methods; Euclidean distance; State estimation;
Conference_Titel :
Pattern Recognition, 1990. Proceedings., 10th International Conference on
Conference_Location :
Atlantic City, NJ
Print_ISBN :
0-8186-2062-5
DOI :
10.1109/ICPR.1990.118186
