Search: onr:"swepub:oai:DiVA.org:kth-150371" >
Extracting insights...
Extracting insights from the shape of complex data using topology
-
Lum, P Y (author)
-
Singh, G (author)
-
Lehman, A (author)
-
show more...
-
Ishkanov, T (author)
-
- Vejdemo-Johansson, Mikael, 1980- (author)
- School of Computer Science@University of St Andrews, Scotland
-
Alagappan, M (author)
-
Carlsson, J (author)
-
Carlsson, G (author)
-
show less...
-
(creator_code:org_t)
- 2013-02-07
- 2013
- English.
-
In: Scientific Reports. - : Nature Publishing Group. - 2045-2322. ; 3
- Related links:
-
https://doi.org/10.1...
-
show more...
-
https://kth.diva-por... (primary) (Raw object)
-
https://www.nature.c...
-
https://urn.kb.se/re...
-
https://doi.org/10.1...
-
show less...
Abstract
Subject headings
Close
- This paper applies topological methods to study complex high dimensional data sets by extracting shapes (patterns) and obtaining insights about them. Our method combines the best features of existing standard methodologies such as principal component and cluster analyses to provide a geometric representation of complex data sets. Through this hybrid method, we often find subgroups in data sets that traditional methodologies fail to find. Our method also permits the analysis of individual data sets as well as the analysis of relationships between related data sets. We illustrate the use of our method by applying it to three very different kinds of data, namely gene expression from breast tumors, voting data from the United States House of Representatives and player performance data from the NBA, in each case finding stratifications of the data which are more refined than those produced by standard methods.
Subject headings
- NATURVETENSKAP -- Matematik -- Beräkningsmatematik (hsv//swe)
- NATURAL SCIENCES -- Mathematics -- Computational Mathematics (hsv//eng)
Keyword
- BREAST-CANCER
- CARCINOMAS
- SURVIVAL
- PREDICT
Publication and Content Type
- ref (subject category)
- art (subject category)
Find in a library
To the university's database