Please use this identifier to cite or link to this item:
http://117.252.14.250:8080/jspui/handle/123456789/3756
Full metadata record
DC Field | Value | Language |
---|---|---|
dc.contributor.author | Indwar, Shashi Poonam | - |
dc.contributor.author | Patel, Nilanchal | - |
dc.date.accessioned | 2019-10-17T11:54:43Z | - |
dc.date.available | 2019-10-17T11:54:43Z | - |
dc.date.issued | 2014 | - |
dc.identifier.citation | International journal of engineering research and applications, Vol 4- Issue 11 (Part IV), Nov 2014 | en_US |
dc.identifier.uri | http://117.252.14.250:8080/jspui/handle/123456789/3756 | - |
dc.description.abstract | There 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.iso | en | en_US |
dc.publisher | International Research Publication House | en_US |
dc.subject | Classification | en_US |
dc.subject | Entropy | en_US |
dc.subject | Training Signatures | en_US |
dc.subject | Homogeneous | en_US |
dc.subject | Heterogeneity | en_US |
dc.title | Classification acuracy analyses using Shanons entropy | en_US |
dc.type | Article | en_US |
Appears in Collections: | Research papers in National Journals |
Files in This Item:
File | Description | Size | Format | |
---|---|---|---|---|
C2-09052014185137.pdf Restricted Access | 1.6 MB | Adobe PDF | View/Open Request a copy |
Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.