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http://krishi.icar.gov.in/jspui/handle/123456789/26662Full metadata record
| DC Field | Value | Language |
|---|---|---|
| dc.contributor.author | Chiranjit Mazumder | en_US |
| dc.contributor.author | Girish K. Jha, Rajender Parsad | en_US |
| dc.contributor.author | Anshu Bharadwaj | en_US |
| dc.contributor.author | Jyoti Kumari | en_US |
| dc.date.accessioned | 2019-12-03T10:02:51Z | - |
| dc.date.available | 2019-12-03T10:02:51Z | - |
| dc.date.issued | 2015-12-01 | - |
| dc.identifier.citation | Not Available | en_US |
| dc.identifier.issn | Not Available | - |
| dc.identifier.uri | http://krishi.icar.gov.in/jspui/handle/123456789/26662 | - |
| dc.description | Not Available | en_US |
| dc.description.abstract | Cluster analysis is used extensively to organize data into groups based on similarities among the individual data items, leading to a crisp or fuzzy partition of sample space. Fuzzy c-means (FCM) is a clustering algorithm which all owsone data point to be long to two or more clusters. In this paper, principal component based fuzzy c-means clustering is applied for classifying 518 lentil genotypes based on their numeric agronomic and morphological traits. The appropriate number of clusters is obtained with the help of validity measures. Results of the study revealed that the genetic divergence is not highly related to geographical origins as exotic and indigenous lentil genotypes are distributed in all the four clusters. | en_US |
| dc.description.sponsorship | Not Available | en_US |
| dc.language.iso | English | en_US |
| dc.publisher | THE INDIAN SOCIETY OF AGRICULTURAL STATISTICS | en_US |
| dc.relation.ispartofseries | Not Available; | - |
| dc.subject | FCM algorithm | en_US |
| dc.subject | Fuzzy clustering | en_US |
| dc.subject | Lentil and Validity measures | en_US |
| dc.title | Principal Component based Fuzzy c-means Algorithm for Clustering Lentil Germplasm | en_US |
| dc.title.alternative | Not Available | en_US |
| dc.type | Research Paper | en_US |
| dc.publication.projectcode | Not Available | en_US |
| dc.publication.journalname | Journal of Indian Society of Agricultural Statistics | en_US |
| dc.publication.volumeno | 69 | en_US |
| dc.publication.pagenumber | 307-314 | en_US |
| dc.publication.divisionUnit | Computer Application | en_US |
| dc.publication.sourceUrl | https://www.semanticscholar.org/paper/Principal-Component-based-Fuzzy-c-means-Algorithm-Mazumder-Jha/fd0c91c6a1c60bb2e67d16de712a0f1068f9a539 | en_US |
| dc.publication.authorAffiliation | ICAR-Indian Agricultural Statistics Research Institute | en_US |
| dc.publication.authorAffiliation | ICAR-Indian Agricultural Research Institute | en_US |
| dc.publication.authorAffiliation | ICAR-National Bureau of Plant Genetic Resources | en_US |
| dc.ICARdataUseLicence | http://krishi.icar.gov.in/PDF/ICAR_Data_Use_Licence.pdf | en_US |
| dc.publication.naasrating | 5.51 | - |
| Appears in Collections: | AEdu-IASRI-Publication | |
Files in This Item:
| File | Description | Size | Format | |
|---|---|---|---|---|
| 3. IJAS_PCA_2015.pdf | 372.95 kB | Adobe PDF | View/Open |
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