@inproceedings{95d230a062bb4ea3a7f1b15215cc1127,
title = "A New Method of Selecting K-means Initial Cluster Centers Based on Hotspot Analysis",
abstract = "The initial cluster centers of traditional K-means algorithm are randomly selected from spatially distributed data samples. This procedure may significantly affect the final clustering outputs and is unable to ensure a high-quality solution. This paper attempts to improve the quality of solution and the efficiency of clustering through selecting initial cluster centers based on hotspot analysis. An algorithm is developed to identify K hotspots as initial cluster centers. The proposed algorithm is compared to three existing methods in our experiments. Our results demonstrate that our method can generate similar but more stable clustering results with less number of iterations than others.",
keywords = "Clustering, Hotspot analysis, Initial cluster centers, K-means algorithm",
author = "Qu Chen and Hong Yi and Yujie Hu and Xianrui Xu and Xiang Li",
note = "Publisher Copyright: {\textcopyright} 2018 IEEE.; 26th International Conference on Geoinformatics, Geoinformatics 2018 ; Conference date: 28-06-2018 Through 30-06-2018",
year = "2018",
month = dec,
day = "3",
doi = "10.1109/GEOINFORMATICS.2018.8557156",
language = "英语",
series = "International Conference on Geoinformatics",
publisher = "IEEE Computer Society",
editor = "Shixiong Hu and Xinyue Ye and Kun Yang and Hongchao Fan",
booktitle = "Proceedings - 2018 26th International Conference on Geoinformatics, Geoinformatics 2018",
address = "美国",
}