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Time series clustering based on the characterisation of segment
  typologies

Time series clustering based on the characterisation of segment typologies

27 October 2018
David Guijo Rubio
A. M. Durán-Rosal
Pedro Antonio Gutiérrez
A. Troncoso
C. Hervás‐Martínez
    AI4TS
ArXiv (abs)PDFHTML

Papers citing "Time series clustering based on the characterisation of segment typologies"

6 / 6 papers shown
Title
$k$-Graph: A Graph Embedding for Interpretable Time Series Clustering
kkk-Graph: A Graph Embedding for Interpretable Time Series Clustering
Paul Boniol
Donato Tiano
Angela Bonifati
Themis Palpanas
AI4TS
100
1
0
18 Feb 2025
Convolutional and Deep Learning based techniques for Time Series Ordinal
  Classification
Convolutional and Deep Learning based techniques for Time Series Ordinal Classification
Rafael Ayllón-Gavilán
David Guijo Rubio
Pedro Antonio Gutiérrez
A. Bagnall
César Hervás-Martinez
89
0
0
16 Jun 2023
SE-shapelets: Semi-supervised Clustering of Time Series Using
  Representative Shapelets
SE-shapelets: Semi-supervised Clustering of Time Series Using Representative Shapelets
Borui Cai
Guang-Li Huang
Shuiqiao Yang
Yong Xiang
Chi-Hung Chi
AI4TS
56
6
0
06 Apr 2023
SECLEDS: Sequence Clustering in Evolving Data Streams via Multiple
  Medoids and Medoid Voting
SECLEDS: Sequence Clustering in Evolving Data Streams via Multiple Medoids and Medoid Voting
A. Nadeem
S. Verwer
AI4TS
18
2
0
24 Jun 2022
Spatiotemporal Data Mining: A Survey on Challenges and Open Problems
Spatiotemporal Data Mining: A Survey on Challenges and Open Problems
Ali Hamdi
Khaled Shaban
A. Erradi
Amr Mohamed
Shakila Khan Rumi
Flora D. Salim
AI4TS
91
102
0
31 Mar 2021
A Spatio-temporal Track Association Algorithm Based on Marine Vessel
  Automatic Identification System Data
A Spatio-temporal Track Association Algorithm Based on Marine Vessel Automatic Identification System Data
Imtiaz Ahmed
M. Jun
Yu Ding
45
15
0
29 Oct 2020
1