Wang, Bingling; Li, Yingxing; Härdle, Wolfgang - 2021
K-means clustering is one of the most widely-used partitioning algorithm in cluster analysis due to its simplicity and … computational efficiency, but it may not provide ideal clustering results when applying to data with non-spherically shaped clusters …. By considering the asymmetrically weighted distance, We propose the K-expectile clustering and search the clusters via a …