User Behavior Analysis of Substation Area Based on Improved K-Means Quadratic Clustering Algorithm

Author:

Hou Yutao1,Lu Hao1,Cao Ning1,Wei Zhe1

Affiliation:

1. College of computer and information, Hohai University,Nanjing,China

Publisher

IEEE

Reference15 articles.

1. Application of K-means algorithm with Pearson coefficient in colleges physical education;lian;Advanced Materials Research,2014

2. Design and Implementation of an Improved K-Means Clustering Algorithm;zhao;Mobile Information Systems,2022

3. Blast furnace condition data clustering based on combination of T-distributed stochastic neighbor embedding and spectral clustering;fang;IEEE International Conference on Control and Automation - ICCA,0

4. Power Load Pattern Recognition based on Improved K-Means and SVM Classifier;wu;Proceedings 2022 4th International Conference on Electrical Engineering and Control Technologies CEECT 2022,0

5. A new distance with derivative information for functional k-means clustering algorithm;meng;Information Sciences,2018

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