Hard and soft clustering of categorical time series based on two novel distances with an application to biological sequences-Reference-Cited by-同舟云学术

Hard and soft clustering of categorical time series based on two novel distances with an application to biological sequences

Published:2023-05 Issue: Volume:624 Page:467-492
ISSN:0020-0255
Container-title:Information Sciences
language:en
Short-container-title:Information Sciences

Author:

López-Oriona Ángel,Vilar José A.,D’Urso Pierpaolo

Publisher

Elsevier BV

Subject

Artificial Intelligence,Information Systems and Management,Computer Science Applications,Theoretical Computer Science,Control and Systems Engineering,Software

Reference50 articles.

1. Recent techniques of clustering of time series data: Asurvey;Rani;Int. J. Comput. Appl.,2012

2. Time Series Clustering and Classification;Maharaj,2019

3. Regression theory for categorical time series;Fokianos;Stat. Sci.,2003

4. Measuring serial dependence in categorical time series;Weiss;AStA-Adv. Stat. Anal.,2008

5. The spectral envelope and its applications;Stoffer;Stat. Sci.,2000

Cited by 6 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Nonconvex fusion penalties for high-dimensional hierarchical categorical variables;Information Sciences;2024-10

2. DLCS: A deep learning-based Clustering solution without any clustering algorithm, Utopia?;Knowledge-Based Systems;2024-07

3. Entropy-based fuzzy clustering of interval-valued time series;Advances in Data Analysis and Classification;2024-03-29

4. Analyzing categorical time series with the package ctsfeatures;Journal of Computational Science;2024-03

5. Two novel distances for ordinal time series and their application to fuzzy clustering;Fuzzy Sets and Systems;2023-09