Clustering Mixed Data Comprising Time Series

Author:

Guérard Guillaume1ORCID,Ben Amor Soufian2ORCID,Levy Loup-Noé3ORCID,Sonia Djebali1ORCID

Affiliation:

1. Research Center, Léonard de Vinci Pôle Universitaire, France

2. LI-Parad, UVSQ, France

3. Energisme, France

Publisher

ACM

Reference35 articles.

1. Saeed Aghabozorgi , Ali Seyed Shirkhorshidi , and Teh Ying Wah . 2015. Time-series clustering–a decade review. Information systems 53 ( 2015 ), 16–38. Saeed Aghabozorgi, Ali Seyed Shirkhorshidi, and Teh Ying Wah. 2015. Time-series clustering–a decade review. Information systems 53 (2015), 16–38.

2. A k-means type clustering algorithm for subspace clustering of mixed numeric and categorical datasets

3. Survey of State-of-the-Art Mixed Data Clustering Algorithms

4. Kevin Beyer , Jonathan Goldstein , Raghu Ramakrishnan , and Uri Shaft . 1999 . When is “nearest neighbor” meaningful?. In Database Theory—ICDT’99 : 7th International Conference Jerusalem, Israel, January 10–12, 1999 Proceedings 7. Springer, 217–235 . Kevin Beyer, Jonathan Goldstein, Raghu Ramakrishnan, and Uri Shaft. 1999. When is “nearest neighbor” meaningful?. In Database Theory—ICDT’99: 7th International Conference Jerusalem, Israel, January 10–12, 1999 Proceedings 7. Springer, 217–235.

5. Christophe Biernacki. 2016. BigStat for Big Data: Big Data clustering through the BigStat SaaS platform. In Journée scientifique Big Data & Data science. Christophe Biernacki. 2016. BigStat for Big Data: Big Data clustering through the BigStat SaaS platform. In Journée scientifique Big Data & Data science.

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