K-Nearest Neighbour Classification |
Author(s): |
| Sameer Desai , Dayananda sagar college of Engineering Bangalore-78; Sahana K, Dayananda sagar college of Engineering Bangalore-78; Vibha M B, Dayananda sagar college of Engineering Bangalore-78 |
Keywords: |
| KNN, Internet of Things, Diabetes Mellitus |
Abstract |
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Knn (k nearest neighbor) is an widely used classification algorithm having its clearness, ease of implementation and the effectiveness . It is one of the classification algorithm, which has been widely applied in different areas like medical science( e.g. diagnosis of diabetes mellitus etc), and data classification for education and for many other purpose.[1] where this algorithm is used to remove noisy data and to improve the quality of data. Software cost estimation is a complex process where the quality of product outcome is completely depends upon quality of given input.[2] Now a days with the rapid development of the society and the economy ,number of vehicles have increasing in more number using knn classification method is used to resolve all such problems.[3] students records have huge data were records of students should be managed correctly thus to resolve the problems about the classification knn method is used. |
Other Details |
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Paper ID: IJSRDV7I40723 Published in: Volume : 7, Issue : 4 Publication Date: 01/07/2019 Page(s): 972-974 |
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