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Topological Methods in Data Analysis and Visualization II: Theory, Algorithms, and Applications (Mathematics and Visualization) by Jan Reininghaus, Ingrid Hotz (auth.), Ronald Peikert, Helwig Hauser, Hamish Carr, Raphael Fuchs (eds.) is a mathematics available to read on EtoBox.
What is Topological Methods in Data Analysis and Visualization II: Theory, Algorithms, and Applications (Mathematics and Visualization) about?
When scientists analyze datasets in a search for underlying phenomena, patterns or causal factors, their first step is often an automatic or semi-automatic search for structures in the data. Of these feature-extraction methods, topological ones stand out due to their solid mathematical foundation. Topologically defined structures—as found in scalar, vector and tensor fields—have proven their merit in a wide range of scientific domains, and scientists have found them to be revealing in subjects s
Who reads Topological Methods in Data Analysis and Visualization II: Theory, Algorithms, and Applications (Mathematics and Visualization)?
It is typically read by self-directed learners exploring a subject in depth.
Common subject areas: history, science, philosophy, social sciences.
- Author
- Jan Reininghaus, Ingrid Hotz (auth.), Ronald Peikert, Helwig Hauser, Hamish Carr, Raphael Fuchs (eds.)
- Publisher
- Springer-Verlag Berlin Heidelberg
- Published
- 2012
- Language
- EN
- ISBN
- 9783642231742
- Category
- mathematics
- Subjects
- Computer Science, Programming, Engineering
- Updated
- 2026-03-25
More by Jan Reininghaus, Ingrid Hotz (auth.), Ronald Peikert, Helwig Hauser, Hamish Carr, Raphael Fuchs (eds.)
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