Educational Data Mining in Chin State

Computer Science

Now a day Educational data mining is new emerging technique of data mining that can be applied on the data related to the field of education. In this proposed method si 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 student’s school requirement level of optimization is 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 R Tool.

This work is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.