Application of an K-means Improved Clustering Analysis Algorithm in the Design of Resource Management Information System
Author:
Affiliation:
1. Wuhan University,School of Information Management,Wuhan,Hubei,China
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/9933723/9934001/09934387.pdf?arnumber=9934387
Reference10 articles.
1. K-Means clustering based Extreme Learning ANFIS with improved interpretability for regression problems
2. Improved Soft-k-Means Clustering Algorithm for Balancing Energy Consumption in Wireless Sensor Networks;bedeer;IEEE Internet of Things Journal,2021
3. Hybrid K-Means and Improved Self-Adaptive Particle Swarm Optimization for Data Clustering;pacífico;IJCNN,2019
4. K-Splits: Improved K-Means Clustering Algorithm to Automatically Detect the Number of Clusters;mohammadi,2021
5. An improved Gabor wavelet transform and rough K-means clustering algorithm for MRI brain tumor image segmentation
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