FC-Kmeans: Fixed-centered K-means algorithm

作者：

Highlights：

• Two algorithms that determine different initial cluster centers are proposed.

• It is aimed to perform clustering by considering existing fixed cluster centers.

• The proposed algorithms are applied to real-life spatial data having fixed centers.

• FC-Kmeans converged to K-means performance at fixed center ratio of 43% and below.

摘要

•Two algorithms that determine different initial cluster centers are proposed.•It is aimed to perform clustering by considering existing fixed cluster centers.•The proposed algorithms are applied to real-life spatial data having fixed centers.•FC-Kmeans converged to K-means performance at fixed center ratio of 43% and below.

论文关键词：K-means,Clustering,Fixed cluster center,Big data,Data mining

论文评审过程：Received 17 February 2022, Revised 5 July 2022, Accepted 20 August 2022, Available online 27 August 2022, Version of Record 30 August 2022.

论文官网地址：https://doi.org/10.1016/j.eswa.2022.118656