Application of Teaching Example Based on Clustering Algorithm

DOI

10.2991/meess-18.2018.29How to use a DOI?

Keywords

Data mining, K- means algorithm, Fuzzy C- means algorithm, MATLAB, power consumer’s behavior.

Abstract

In this paper, K-means and Fuzzy C-means clustering algorithms are used as typical algorithms for data mining courses. In addition, it uses electricity monthly electricity load data for a certain region in domestic as the testing data. With the MATLAB environment, the clustering clusters and different clustering centers for different power consumption behaviors of power consumes are obtained. By analyzing the clustering clusters and clustering centers, the clusters obtained by different algorithms can be roughly divided into three categories, and the power consumers' electricity habits in this area can also be divided into three categories. This paper uses the approach to improve students' interest in learning, expand students' practical applications in clustering algorithms, and cultivate students' creative creativity

Copyright

© 2018, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - CONF
AU  - Xiang Li
AU  - Xin Su
AU  - Miao Di
AU  - Muzi Zhuge
PY  - 2018/08
DA  - 2018/08
TI  - Application of Teaching Example Based on Clustering Algorithm
BT  - Proceedings of the 2018 International Conference on Management, Economics, Education and Social Sciences (MEESS 2018)
PB  - Atlantis Press
SP  - 143
EP  - 147
SN  - 2352-5398
UR  - https://doi.org/10.2991/meess-18.2018.29
DO  - 10.2991/meess-18.2018.29
ID  - Li2018/08
ER  -