Integrated k-means Clustering with Nature Inspired Optimization Algorithm for the Prediction of Disease on High Dimensional Data

Author:

Alam Afroj1,Muqeem Mohd1

Affiliation:

1. Integral University,Department of Computer Application,Lucknow,U.P,India

Publisher

IEEE

Reference21 articles.

1. Prediction of Heart Disease by Clustering and Classification Techniques;singh;International Journal of Computational Engineering Science,2019

2. Comprehensive review on Clustering Techniques and its application on High Dimensional Data;alam;International Journal of Computer Science & Network Security,2021

3. Application, functionality, and security issues of data mining techniques in healthcare informatics

4. Fog, Edge and Pervasive Computing in Intelligent Internet of Things Driven Applications in Healthcare: Challenges, Limitations and Future Use

5. A review on particle swarm optimization algorithm and its variants to clustering high-dimensional data

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1. Enhancing the Efficiency of Diabetes Prediction through Training and Classification using PCA and LR Model;Annals of Emerging Technologies in Computing;2023-07-01

2. VSFCM: A Novel Viewpoint-Driven Subspace Fuzzy C-Means Algorithm;Applied Sciences;2023-05-22

3. PSO-based procedure to find number of clusters and better initial centroids for K-means algorithm: Image segmentation as case study;2023 6th International Conference on Pattern Recognition and Image Analysis (IPRIA);2023-02-14

4. Automatic Clustering for Selection of Optimal Number of Clusters by K-Means Integrated with Enhanced Firefly Algorithms;2022 2nd International Conference on Technological Advancements in Computational Sciences (ICTACS);2022-10-10

5. Big Data Analytics Model for Distributed Document Using Hybrid Optimization with K -Means Clustering;Wireless Communications and Mobile Computing;2022-06-11

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