ICAR Research Data Repository for Knowledge Management
Application of Fuzzy C-means Clustering Algorithm in Agriculture
KrishiKosh
View Archive Info| Field | Value | |
| Title |
Application of Fuzzy C-means Clustering Algorithm in Agriculture
M. Sc. |
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| Creator |
Chiranjit Mazumder
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| Contributor |
Girish Kr. Jha
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| Subject |
FCM algorithm, Fuzzy clustering, GK algorithm, Lentil and Validity measures.
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| Description |
T-8731
Cluster analysis is one of the unsupervised pattern recognition techniques that can be used to organize data into groups based on similarities among the individual data items. In this study, an attempt was made to propose and evaluate the principal component based fuzzy c-means algorithm in classifying 518 lentil genotypes based on their numeric agronomic and morphological traits. The optimum number of clusters was obtained using validity measures |
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| Date |
2016-09-01T19:19:07Z
2016-09-01T19:19:07Z 2012 |
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| Type |
Thesis
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| Identifier |
http://krishikosh.egranth.ac.in/handle/1/75029
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| Format |
application/pdf
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| Publisher |
IARI, Indian Agricultural Statistics Research Institute
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