Prediction of Students Academic Performance Using K-Means and K-Medoids Unsupervised Machine Learning Clustering Technique
Prerna Joshi
, Prof. Pritesh Jain
K – Mean, K-Medoids, Clustering, Academic Performance, Algorithm.
the capacity to screen the advancement for students’ academic execution is a basic issue of the academic Group from claiming higher Taking in. An arrangement to dissecting students’ comes about dependent upon group dissection and utilization standard measurable calculations with organize their scores information as stated by the level about their execution may be portrayed. In this paper, we also actualized k-mean and K-Medoids grouping algorithm for examining students’ consequence information. Those model might have been consolidated for those deterministic model should dissect those students’ effects of a private foundation clinched alongside % Iberia which is a great standard with screen the progression of academic execution about people for higher institutional to the reason for making an successful choice by those academic organizers.
"Prediction of Students Academic Performance Using K-Means and K-Medoids Unsupervised Machine Learning Clustering Technique", IJSDR - International Journal of Scientific Development and Research (www.IJSDR.org), ISSN:2455-2631, Vol.3, Issue 6, page no.162 - 171, June-2018, Available :https://ijsdr.org/papers/IJSDR1806031.pdf
Volume 3
Issue 6,
June-2018
Pages : 162 - 171
Paper Reg. ID: IJSDR_180385
Published Paper Id: IJSDR1806031
Downloads: 000347217
Research Area: Engineering
Country: -, -, --
ISSN: 2455-2631 | IMPACT FACTOR: 9.15 Calculated By Google Scholar | ESTD YEAR: 2016
An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 9.15 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator
Publisher: IJSDR(IJ Publication) Janvi Wave
