Uniformity and homogeneity-based hierarchical clustering

Proceedings - International Conference on Pattern Recognition

Volumn 2, Issue , 1996, Pages 96-100

  Bajcsy, Peter ^a   Ahuja, Narendra ^a  

^a UNIVERSITY OF ILLINOIS AT URBANA CHAMPAIGN   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

PATTERN RECOGNITION;

CLUSTERING PROBLEMS; DENSITY-BASED CLUSTERING; DIMENSIONAL SPACES; FUNCTION VALUES; HIER-ARCHICAL CLUSTERING; LOWER-DIMENSIONAL PROBLEMS; N-DIMENSIONAL SPACE; UNIFORMITY MODELING;

CLUSTERING ALGORITHMS;

EID: 79960216810     PISSN: 10514651     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICPR.1996.546731     Document Type: Conference Paper

References (11)

1. N. Ahuja. Dot pattern processing using voronoi neighborhoods. IEEE Transaction on Pattern Analysis and Machine Intelligence, 4(3):336-343, May 1982.
2. N. Ahuja and B. J. Schachter. Pattern Models. John Wiley and sons inc., USA, 1983.
3. E. by K. S. Fu. Digital Pattern Recognition. Springer-Verlag, New York, 1976.
4. B. S. Everitt. Cluster analysis. Edward Arnold, a division of Hodder and Stoughton, London, 1993.
5. H. Hanaizumi, S. Chino, and S. Fujimura. A binary division algorithm for clustering remotely sensed multispectral images. IEEE Transaction on Instrumentation and Measurement, 44(3):759-763, June 1995.
6. A. K. Jain and R. C. Dubes. Algorithms for Clustering Data. Prentice Hall Inc., Englewood Cliffs, New Jersey, 1988.
7. P. H. Sneath and R. R. Sokal. Numerical Taxonomy. W. H. Freeman and company, San Francisco, 1973.
8. M. Tuceryan and A. Jain. Texture segmentation using voronoi polygons. IEEE Trans, on Pattern Analysis and Machine Intelligence, 12(2):211-216, 1990.
9. Y. Wong and E. C. Posner. A new clustering algorithm applicable to multiscale and polarimetric sar images. IEEE Transaction on Geoscience and Remote Sensing, 31 (3):634-644, May 1993.
10. B. Yu and B. Yuan. A global optimum clustering algorithm. Engineering applications of artificial inteligence, 8(2):223-227, April 1995.
11. C. T. Zahn. Graph-theoretical methods for detecting and describing gestalt clusters. IEEE Transaction on Computers, C-20(l):68-86, January 1971.