Please use this identifier to cite or link to this item: http://117.252.14.250:8080/jspui/handle/123456789/3756
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dc.contributor.authorIndwar, Shashi Poonam-
dc.contributor.authorPatel, Nilanchal-
dc.date.accessioned2019-10-17T11:54:43Z-
dc.date.available2019-10-17T11:54:43Z-
dc.date.issued2014-
dc.identifier.citationInternational journal of engineering research and applications, Vol 4- Issue 11 (Part IV), Nov 2014en_US
dc.identifier.urihttp://117.252.14.250:8080/jspui/handle/123456789/3756-
dc.description.abstractThere are many methods for determining the classification accuracy. In this paper the significance of entropy of training signatures in classification has been shown.en_US
dc.language.isoenen_US
dc.publisherInternational Research Publication Houseen_US
dc.subjectClassificationen_US
dc.subjectEntropyen_US
dc.subjectTraining Signaturesen_US
dc.subjectHomogeneousen_US
dc.subjectHeterogeneityen_US
dc.titleClassification acuracy analyses using Shanons entropyen_US
dc.typeArticleen_US
Appears in Collections:Research papers in National Journals

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