initKmix-A novel initial partition generation algorithm for clustering mixed data using k-means-based clustering

作者：

Highlights：

• We address the problem of cluster centre initialization in mixed data.

• We present initKmix algorithm that produces accurate and consistent results.

• initKmix outperformed random initialization method on several datasets.

摘要

•We address the problem of cluster centre initialization in mixed data.•We present initKmix algorithm that produces accurate and consistent results.•initKmix outperformed random initialization method on several datasets.

论文关键词：Mixed data,Clustering,k-means,Initialization,Random

论文评审过程：Received 2 December 2019, Revised 2 September 2020, Accepted 21 October 2020, Available online 27 October 2020, Version of Record 10 February 2021.

论文官网地址：https://doi.org/10.1016/j.eswa.2020.114149