Cargando…
Data Analysis of Educational Evaluation Using K-Means Clustering Method
It is thought to be an effective technique to handle the problem of educational data explosion and lack of information by identifying potential relationships between data and directing decision-makers through the extraction, transformation, analysis, and modeling of educational data. Based on this,...
Autor principal: | Liu, Rui |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Hindawi
2022
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9357756/ https://www.ncbi.nlm.nih.gov/pubmed/35958764 http://dx.doi.org/10.1155/2022/3762431 |
Ejemplares similares
-
Seismic Facies Analysis Using the Multiattribute SOM-K-Means Clustering
por: Zhu, Zhaolin, et al.
Publicado: (2022) -
Consensus Kernel K-Means Clustering for Incomplete Multiview Data
por: Ye, Yongkai, et al.
Publicado: (2017) -
An Analysis of Burnout among Female Nurse Educators in Saudi Arabia Using K-Means Clustering
por: Baghdadi, Nadiah A., et al.
Publicado: (2022) -
Optimized data fusion for K-means Laplacian clustering
por: Yu, Shi, et al.
Publicado: (2011) -
mbkmeans: Fast clustering for single cell data using mini-batch k-means
por: Hicks, Stephanie C., et al.
Publicado: (2021)