Density-Based Unsupervised Learning Algorithm to Categorize College Students into Dropout Risk Levels

Density-Based Unsupervised Learning Algorithm to Categorize College Students into Dropout Risk Levels

Compliance with the basic conditions of quality in higher education implies the design of strategies to reduce student dropout, and Information and Communication Technologies (ICT) in the educational field have allowed directing, reinforcing, and consolidating the process of professional academic tr...

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Bibliographic Details
Main Authors: Miguel Angel Valles-Coral, Luis Salazar-Ramírez, Richard Injante, Edwin Augusto Hernandez-Torres, Juan Juárez-Díaz, Jorge Raul Navarro-Cabrera, Lloy Pinedo, Pierre Vidaurre-Rojas
Format: Article
Language:English
Published: MDPI AG 2022-11-01
Series:Data
Subjects:
clustering
data mining
DBSCAN
K-Means
HDBSCAN
Online Access:https://www.mdpi.com/2306-5729/7/11/165

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https://www.mdpi.com/2306-5729/7/11/165

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