A discrete morse-based approach to multivariate data analysis-Reference-Cited by-同舟云学术

A discrete morse-based approach to multivariate data analysis

Published:2016-11-28 Issue: Volume: Page:
ISSN:
Container-title:SIGGRAPH ASIA 2016 Symposium on Visualization
language:
Short-container-title:

Author:

Iuricich Federico¹,Scaramuccia Sara²,Landi Claudia³,De Floriani Leila¹

Affiliation:

1. University of Maryland

2. University of Genova, Italy

3. University of Modena and Reggio Emilia, Italy

Funder

National Science Foundation

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3002151.3002166

Reference30 articles.

1. Allili M. Kaczynski T. Landi C. and Masoni F. 2015. A new matching algorithm for multidimensional persistence. ArXiv Id:1511.05427 Nov. Allili M. Kaczynski T. Landi C. and Masoni F. 2015. A new matching algorithm for multidimensional persistence. ArXiv Id:1511.05427 Nov.

2. Allili M. Kaczynski T. and Landi C. 2016. Reducing complexes in multidimensional persistent homology theory. Journal of Symbolic Computation. 10.1016/j.jsc.2015.11.020 Allili M. Kaczynski T. and Landi C. 2016. Reducing complexes in multidimensional persistent homology theory. Journal of Symbolic Computation. 10.1016/j.jsc.2015.11.020

3. The theory of multidimensional persistence

4. Carlsson G. Singh G. and Zomorodian A. 2009. Computing multidimensional persistence. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) 5878 LNCS 1 730--739. 10.1007/978-3-642-10631-6_74 Carlsson G. Singh G. and Zomorodian A. 2009. Computing multidimensional persistence. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) 5878 LNCS 1 730--739. 10.1007/978-3-642-10631-6_74

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