Matrix Profile Clustering
Matrix Profile Clustering is a time series clustering methodology that utilizes the matrix profile structure to identify conserved patterns and anomalies by measuring the similarity of subsequences within and across time series, distinguishing itself through its reliance on indexed, distance-based motifs derived from the collective pairwise z-normalized Euclidean distances.
7
Publications
348
Citations
33
Authors
10
Institutions
Publications per year
2017–2026
7
Parents
7
Zachary Zimmerman, Kaveh Kamgar, Nader Shakibay Senobari et al. · 2019 · 62 citations · Full text
Computing, Astronomy, Geophysics +14
1–5 of 7
33
4
h-index
3
h-index
3
h-index
2
h-index
2
h-index
1–5 of 33
10
University of California, Riverside
Riverside, United States
4 h-index
27 publications
1.9K citations
University of New Mexico
Albuquerque, United States
2 h-index
2 publications
165 citations
Huaqiao University
Xiamen, China
2 h-index
4 publications
52 citations

Ghent University
Ghent, Belgium
1 h-index
7 publications
203 citations
University of London Institute in Paris
Paris, France
1 h-index
1 publications
62 citations
National Taipei University of Education
Taipei, Taiwan
1 h-index
1 publications
11 citations
Université Paris Cité
Paris, France
1 h-index
2 publications
124 citations
Universidade de São Paulo
São Paulo, Brazil
1 h-index
1 publications
132 citations
1–8 of 10
3 publications · 227 citations
3
h-index
1 publications · 29 citations
1
h-index
1 publications · 19 citations
1
h-index
1 publications · 11 citations
1
h-index
1 publications · 15 citations
1–5