Topological methods in data analysis and visualization II theory, algorithms, and applications /
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. T...
| Other Authors: | Peikert, Ronald., SpringerLink (Online service) |
|---|---|
| Format: | eBook |
| Language: | English |
| Published: |
Heidelberg ; New York :
Springer-Verlag Berlin Heidelberg,
©2012.
Heidelberg ; New York : [2012] |
| Physical Description: |
1 online resource (xi, 299 pages) : illustrations (some color). |
| Series: |
Mathematics and visualization.
|
| Subjects: |
CMU Electronic Access
Electronic Resource Click Here| Location | Call Number: | Status |
|---|---|---|
| CMU Electronic Access | Available |