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Chidananda Gowda, K., Diday, E. (1991) Symbolic clustering using a new dissimilarity measure. Pattern Recognition, 24 (6). 567-578 doi:10.1016/0031-3203(91)90022-w

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Reference TypeJournal (article/letter/editorial)
TitleSymbolic clustering using a new dissimilarity measure
JournalPattern Recognition
AuthorsChidananda Gowda, K.Author
Diday, E.Author
Year1991 (January)Volume24
Issue6
PublisherElsevier BV
DOIdoi:10.1016/0031-3203(91)90022-wSearch in ResearchGate
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Mindat Ref. ID9360061Long-form Identifiermindat:1:5:9360061:1
GUID0
Full ReferenceChidananda Gowda, K., Diday, E. (1991) Symbolic clustering using a new dissimilarity measure. Pattern Recognition, 24 (6). 567-578 doi:10.1016/0031-3203(91)90022-w
Plain TextChidananda Gowda, K., Diday, E. (1991) Symbolic clustering using a new dissimilarity measure. Pattern Recognition, 24 (6). 567-578 doi:10.1016/0031-3203(91)90022-w
In(1991, January) Pattern Recognition Vol. 24 (6) Elsevier BV

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Chidananda Gowda, K., Ravi, T.V. (1995) Divisive clustering of symbolic objects using the concepts of both similarity and dissimilarity. Pattern Recognition, 28 (8). 1277-1282 doi:10.1016/0031-3203(95)00003-i
Chidananda Gowda, K., Krishna, G. (1978) Agglomerative clustering using the concept of mutual nearest neighbourhood. Pattern Recognition, 10 (2). 105-112 doi:10.1016/0031-3203(78)90018-3
Sudhanva, D., Chidananda Gowda, K. (1992) Dimensionality reduction using geometric projections: A new technique. Pattern Recognition, 25 (8). 809-817 doi:10.1016/0031-3203(92)90035-h
Chidananda Gowda, K. (1984) A feature reduction and unsupervised classification algorithm for multispectral data. Pattern Recognition, 17 (6). 667-676 doi:10.1016/0031-3203(84)90020-7
Chidananda Gowda, K., Krishna, G. (1979) Learning with a mutualistic teacher. Pattern Recognition, 11 (5). 383-390 doi:10.1016/0031-3203(79)90050-5
Diday, Edwin (1974) Optimization in non-hierarchical clustering. Pattern Recognition, 6 (1). 17-33 doi:10.1016/0031-3203(74)90005-3
Chidananda Gowda, K. (1984) Cluster detection in a collection of collinear line segments. Pattern Recognition, 17 (2). 221-237 doi:10.1016/0031-3203(84)90061-x
Kurita, Takio (1991) An efficient agglomerative clustering algorithm using a heap. Pattern Recognition, 24 (3). 205-209 doi:10.1016/0031-3203(91)90062-a
(1991) Announcement. Pattern Recognition, 24 (6). 601pp. doi:10.1016/0031-3203(91)90025-z
(1991) Software survey section. Pattern Recognition, 24 (4). doi:10.1016/0031-3203(91)90079-k
(1991) Software survey section. Pattern Recognition, 24 (6). doi:10.1016/0031-3203(91)90026-2
 
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