Application of k Means Clustering algorithm for prediction of Students Academic Performance

OJ Oyelade, OO Oladipupo, IC Obagbuwa - arXiv preprint arXiv …, 2010 - arxiv.org
The ability to monitor the progress of students academic performance is a critical issue to the
academic community of higher learning. A system for analyzing students results based on …

[PDF][PDF] K-Means algorithm for clustering of learners performance levels using machine learning techniques.

R Vankayalapati, KB Ghutugade… - Rev. d'Intelligence …, 2021 - academia.edu
Accepted: 12 November 2020 Data Clustering is the process of grouping the objects in a
way which is identical to the objects in the same group than in other classes. In this paper …

[PDF][PDF] Adaptation of matlab K-means clustering function to create Color Image Features

ASJ Al-Azzeh, R Rasras, Z Alqadi… - … Journal of Research …, 2019 - researchgate.net
K_means method is commonly used for color image clustering, and it can be used also for
color image features creation, these features can be used later on as an image signature …

Classification of students results using KNN and ANN

U Imdad, W Ahmad, M Asif… - 2017 13th international …, 2017 - ieeexplore.ieee.org
It is a primary concern to observe the student's academic performance for high learning. This
paper proposes a method for student's results classification centered on the clustering of …

[PDF][PDF] Mining Customer's Data for Vehicle Insurance Prediction System using k-Means Clustering-An Application

SS Thakur, JK Sing - International journal of computer Applications in …, 2013 - Citeseer
Data mining or mining customer's data helps to discover the key characteristics from the
customer's data, and possibly use those characteristics for future prediction. The problem of …

[PDF][PDF] Graphics to fuzzy elements in appraisal of an in-house software based on Inter-failure data analysis

JO Omolehin, K Rauf, RG Jimoh… - African Journal of …, 2009 - academia.edu
The performance of any software can be measured, approximately, by three parameters;
Reliability, Availability and Maintainability. They provide information about the robustness of …

[PDF][PDF] Student's academic performance analysis using SOM

SA Khadir, KM Amanullah, PG Shankar - International Journal for …, 2015 - Citeseer
The ability to monitor the progress of students' academic performance is a critical issue and
monitoring student academic performance is not an easy task. Many factors could act as …

[PDF][PDF] MATHEMATICAL FIXATION ALGORITHM FOR CORRUPTION

JO OMOLEHIN - 2018 - fulokoja.edu.ng
The Devine power of God has made me to reach the apex of the carrier given to me by Him. I
have passed through the shadow of death several times but the Almighty God still spare my …

[引用][C] K-Means Algorithm for Clustering of Learners Performance Levels Using Machine Learning Techniques K-Means Algorithm for Clustering of Learners …

R Vankayalapati, KB Ghutugade, R Vannapuram…