Hierarchical Data Structures for Pattern Recognition

Hierarchical Data Structures for Pattern Recognition

Pattern recognition is an important area with potential applications in computer vision, Speech understanding, knowledge engineering, bio-medical data classification, earth sciences, life sciences, economics, psychology, linguistics, etc. Clustering is an unsupervised classification process corning...

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Bibliographic Details
Main Author: Choudhury, Sabyasachy
Other Authors: Murthy, Narasimha M
Format: Others
Language:en
Published: Indian Institute of Science 2005
Subjects:
Computer and Information Science
Pattern Recognition
Dendrogram
Euclidean Space
Clustering Algorithm
Parallel Algorithm
Systolic Arrays
HaraLick' s work
Horowitz's work
Minimal Spanning Tree (MST)
Online Access:http://hdl.handle.net/2005/74

Internet

http://hdl.handle.net/2005/74

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