Use of symbolic dynamic time warping in hierarchical clustering of urban fabric evolutions extracted from spatiotemporal topographic databases

Author:

Gançarski Pierre1,Puissant Anne1,Petitjean François2

Affiliation:

1. University of Strasbourg, France. E-mails: pierre.gancarski@unistra.fr, anne.puissant@unistra.fr

2. Monash University, Melbourne, Australia. E-mail: francois.petitjean@monash.edu

Publisher

IOS Press

Subject

Artificial Intelligence

Reference29 articles.

1. Aligning gene expression time series with time warping algorithms;Aach;Bioinformatics,2001

2. A new approach to analyzing gene expression time series data

3. A. Boffet and S. Serra, Identification of spatial structures within urban blocks for town characterization, in: 20th International Cartographic Conference, Vol. 3, 2001, pp. 1974–1983.

4. Querying and mining of time series data: Experimental comparison of representations and distance measures;Ding;Proc. VLDB Endow.,2008

5. P. Gançarski and A.-D. Salaou, Fouille de données multi-stratégie multi-temporelle, in: Journées Francophones sur L’Extraction et la Gestion des Connaissances – Session Démontration, 2016.

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