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1

Unsupervised learning through symbolic clustering

K. Chidananda Gowda, E. Diday

Journal:

Pattern Recognition Letters

Year:

1991

Language:

english

File:

PDF, 340 KB

english, 1991

2

Dimensionality reduction of symbolic data

P. Nagabhushan, K. Chidananda Gowda, Edwin Diday

Journal:

Pattern Recognition Letters

Year:

1995

Language:

english

File:

PDF, 305 KB

english, 1995

3

Dimensionality reduction using geometric projections: A new technique

D. Sudhanva, K. Chidananda Gowda

Journal:

Pattern Recognition

Year:

1992

Language:

english

File:

PDF, 633 KB

english, 1992

4

Subspace models for document script and language identification

T. N. Vikram, K. Chidananda Gowda

Journal:

International Journal of Imaging Systems and Technology

Year:

2010

Language:

english

File:

PDF, 681 KB

english, 2010

5

Agglomerative clustering using the concept of mutual nearest neighbourhood

K. Chidananda Gowda, G. Krishna

Journal:

Pattern Recognition

Year:

1978

Language:

english

File:

PDF, 635 KB

english, 1978

6

Cluster detection in a collection of collinear line segments

K. Chidananda Gowda

Journal:

Pattern Recognition

Year:

1984

Language:

english

File:

PDF, 467 KB

english, 1984

7

Learning with a mutualistic teacher

K. Chidananda Gowda, G. Krishna

Journal:

Pattern Recognition

Year:

1979

Language:

english

File:

PDF, 550 KB

english, 1979

8

A feature reduction and unsupervised classification algorithm for multispectral data

K. Chidananda Gowda

Journal:

Pattern Recognition

Year:

1984

Language:

english

File:

PDF, 701 KB

english, 1984

9

Symbolic clustering using a new dissimilarity measure

K. Chidananda Gowda, E. Diday

Journal:

Pattern Recognition

Year:

1991

Language:

english

File:

PDF, 833 KB

english, 1991

10

Divisive clustering of symbolic objects using the concepts of both similarity and dissimilarity

K. Chidananda Gowda, T.V. Ravi

Journal:

Pattern Recognition

Year:

1995

Language:

english

File:

PDF, 408 KB

english, 1995

11

Agglomerative clustering of symbolic objects using the concepts of both similarity and dissimilarity

K.Chidananda Gowda, T.V. Ravi

Journal:

Pattern Recognition Letters

Year:

1995

Language:

english

File:

PDF, 485 KB

english, 1995

12

An ISODATA clustering procedure for symbolic objects using a distributed genetic algorithm

T.V. Ravi, K.Chidananda Gowda

Journal:

Pattern Recognition Letters

Year:

1999

Language:

english

File:

PDF, 97 KB

english, 1999

13

Genetic algorithms for symbolic clustering

K Chidananda Gowda, T V Ravi

Journal:

Year:

1996

Language:

english

File:

PDF, 460 KB

english, 1996

14

Symbolic agglomerative clustering for quantitative analysis of remotely sensed data

Prakash, H. N. Srikanta, Nagabhushan, P., Gowda, K. Chidananda

Journal:

International Journal of Remote Sensing

Year:

2000

Language:

english

File:

PDF, 837 KB

english, 2000

15

[IEEE IGARSS'97. 1997 IEEE International Geoscience and Remote Sensing Symposium Proceedings. Remote Sensing - A Scientific Vision for Sustainable Development - Singapore (3-8 Aug. 1997)] IGARSS'97. 1997 IEEE International Geoscience and Remote Sensing Symposium Proceedings. Remote Sensing - A Scientific Vision for Sustainable Development - Unsupervised classification for remotely sensed data using fuzzy set theory

Dinesh, M.S., Chidananda Gowda, K., Nagabhushan, P.

Year:

1997

Language:

english

File:

PDF, 572 KB

english, 1997

16

[IEEE 2008 Congress on Image and Signal Processing - Sanya, China (2008.05.27-2008.05.30)] 2008 Congress on Image and Signal Processing - Face Indexing and Retrieval by Spatial Similarity

N., Vikram T., K., Chidananda Gowda, S., Guru D., Urs, Shalini R.

Year:

2008

Language:

english

File:

PDF, 346 KB

english, 2008

17

[IEEE 2014 Fifth International Conference on Signal and Image Processing (ICSIP) - Bangalore, India (2014.01.8-2014.01.10)] 2014 Fifth International Conference on Signal and Image Processing - Patron's Message from the Former Vice Chancellor - ICSIP 2014

Gowda, K. Chidananda

Year:

2014

File:

PDF, 265 KB

2014

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