Diabetes Mellitus Prediction Based on Enhanced K Strange Points Clustering and Classification
Author:
Affiliation:
1. Padre Conceicao College of Engineering Verna,Dept. of Information Technology,Goa,India
2. Padre Conceicao College of Engineering Verna,Dept. of Computer Engineering,Goa,India
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/9767097/9767098/09767143.pdf?arnumber=9767143
Reference19 articles.
1. Diagnosis of Diabetes Using Classification Mining Techniques
2. Cascading K-means clustering and K-nearest neighbor classifier for categorization of diabetic patients;karegowda;International Journal of Engineering and Advanced Technology (IJEAT),2012
3. An Approach for Prediction of Diabetic disease by using b-Colouring Technique in Clustering Analysis
4. Classification of diabetes using Naïve Bayes and support vector machine as a technique;gupta;Proc Operations Management and Systems Engineering Lecture Notes on Multidisciplinary Industrial Engineering,2021
5. Comparative Analysis of Classification Methods with PCA and LDA for Diabetes
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