Topological methods in data analysis and visualization II : Theory, algorithms, and applications /
<p>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 foun...
Saved in:
Corporate Author: | SpringerLink (Online service) |
---|---|
Other Authors: | Peikert, Ronald |
Format: | eBook |
Language: | English |
Published: |
Berlin, Heidelberg
Springer Berlin Heidelberg
2012.
|
Series: | Mathematics and Visualization
|
Subjects: | |
Online Access: | Click here to view the full text content |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Data visualization : principles and practice /
by: Telea, Alexandru C.
Published: (2008) -
Mathematical foundations of scientific visualization, computer graphics, and massive data exploration
Published: (2009) -
Visualization in medicine and life sciences II: progress and new challenges /
Published: (2012) -
Mathematical foundations of scientific visualization, computer graphics and massive data exploration /
Published: (2009) -
Data visualization 2001
Published: (2001)