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K-mean and EM Clustering algorithm using attendance performance improvement Primary school Student


Manmohan Singh, Harish Nagar, Anjali Sant
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Based on the clustering methods such as centroid based, distribution based and density based clustering. Cluster includes groups in with small distance among the cluster members. The performance of studentís multilevel of optimization formulated by using clustering. In centroid based clustering, clusters are represented by a central vector. The number of clusters is fixed to k, k-means clustering gives a formal definition as an optimization problem. The clustering model most closely related to statistics is based on distribution model. Experiments attempts to improve the accuracy by using the method of data mining using weak Tool.

Manmohan Singh, Harish Nagar, Anjali Sant

Centroid based, Density based Cluster, K-means algorithm, EM Clustring Algorithem

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Publication Details

Published in : Volume 2 | Issue 1 | January-Febuary - 2016
Date of Publication Print ISSN Online ISSN
2015-01-25 2395-1990 2394-4099
Page(s) Manuscript Number   Publisher
131-133 IJSRSET162140   Technoscience Academy

Cite This Article

Manmohan Singh, Harish Nagar, Anjali Sant, "K-mean and EM Clustering algorithm using attendance performance improvement Primary school Student", International Journal of Scientific Research in Science, Engineering and Technology(IJSRSET), Print ISSN : 2395-1990, Online ISSN : 2394-4099, Volume 2, Issue 1, pp.131-133, January-Febuary-2016.
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