K-mean and EM Clustering algorithm using attendance performance improvement Primary school Student
Year: 2015
Type: article
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.
Authors: Singh, Manmohan, Nagar, Harish, Sant, Anjali
Institution: Mewar University
Language: English
Subfield: Information Systems
Field: Computer Science
Domain: Physical Sciences
SDG: Quality education
Open Access status: green
OpenAlex ID: W2397575098