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

Authors

  • Manmohan Singh  Department of Computer Science and Engineering,. Mewar University, Rajasthan, India
  • Harish Nagar  Department of Computer Science and Engineering,. Mewar University, Rajasthan, India
  • Anjali Sant  Department of Computer Science and Engineering,. Mewar University, Rajasthan, India

Keywords:

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

Abstract

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 student’s 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.

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International Journal of Scientific Research in Science, Engineering and Technology

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Published

2015-01-25

Issue

Volume 2, Issue 1, January-February-2016

Section

Research Articles

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How to Cite

[1]
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-February-2016.