Feature weighting aims to assign different weights to features based on their importance in
machine learning tasks. In clustering tasks, the existing methods learn feature importance …

Addressing limitations of the K-means clustering algorithm: outliers, non-spherical data, and
optimal cluster selection Page 1 AIMS Mathematics, 9(9): 25070–25097. DOI: 10.3934/math.20241222 …

New Intent Discovery (NID) is the task of categorizing new and unknown intents into distinct
clusters. Recent advances in this issue can be roughly grouped into parametric clustering …