Conference proceeding
Clustering for bioinformatics via matrix optimization
Proceedings of the 2nd ACM Conference on bioinformatics, computational biology and biomedicine, pp.559-563
BCB '11
08/01/2011
DOI: 10.1145/2147805.2147900
Abstract
A new matrix-based clustering method is presented that is able to handle medium to large data sets that is related to semi-definite programming techniques. The method proposed involves solving a non-convex optimization problem. The problem of local minima that are far from global minima, however, does not appear to be a great difficulty. The method was applied to a well known biological clustering problem, and appears to produce consistent clusterings that are close to the original claimed clustering.
Details
- Title: Subtitle
- Clustering for bioinformatics via matrix optimization
- Creators
- Suely Oliveira - University of IowaDavid Stewart - University of Iowa
- Resource Type
- Conference proceeding
- Publication Details
- Proceedings of the 2nd ACM Conference on bioinformatics, computational biology and biomedicine, pp.559-563
- Series
- BCB '11
- DOI
- 10.1145/2147805.2147900
- Publisher
- ACM
- Language
- English
- Date published
- 08/01/2011
- Academic Unit
- Computer Science; Mathematics
- Record Identifier
- 9984241047302771
Metrics
11 Record Views