Academic Performance Evaluation and Prediction using SC-FCM Clustering Algorithm
Journal: International Journal of Science and Research (IJSR) (Vol.5, No. 11)Publication Date: 2016-11-05
Authors : Govinda Raj S S;
Page : 1608-1611
Keywords : Academic Performance Evaluation; Subtractive Clustering; Fuzzy C means clustering; training data;
Abstract
In this Paper Ive introduced a methodology to evaluate and predict the academic performance of Students using Subtractive Clustering Fuzzy C means Clustering Hybrid model taking their previous performance as training data. Students improvement in performance is henceforth evaluated using the Algorithm predicted results and original results.
Other Latest Articles
- A Review on Multi-Attribute Assisted Reranking using SVM Classification for Web Image Search
- Chemistry of Trace Metals in the Riverine Sediments of Kortalaiyar River, Tamilnadu, India
- The Text-Based Indonesian to Stimulate Achievement and Motivation (A Textbook for the Seventh Graders of Junior High Schools)
- Fabrication of Aluminum/Magnesium Composite Material and Optimization their Mechanical Properties
- Mutagenic Effects of Gamma Rays on Young, Middle and Old age Stem Cuttings of Poplar (Populus deltoides) in Spring Season
Last modified: 2021-07-01 14:47:12