Adaptive Clustering and Feature Selection for Categorical Time Series Using Interpretable Frequency-Domain Features
{{output}}
This article presents a novel approach to clustering and feature selection for categorical time series via interpretable frequency-domain features. A distance measure is introduced based on the spectral envelope and optimal scalings, which parsimoniously chara... ...
