Clustering Algorithms in an Educational Context: An Automatic Comparative Approach

IEEE ACCESS, pp. 146994-147014, 2020.

Cited by: 0|Views0

Abstract:

Despite an increasing consensus regarding the significance of properly identifying the most suitable clustering method for a given problem, a surprising amount of educational research, including both educational data mining (EDM) and learning analytics (LA), neglects this critical task. This shortcoming could in many cases have a negative...More

Code:

Data:

Get fulltext within 24h
Bibtex
Your rating :
0

 

Tags
Comments