## Abstract Cluster analysis is a helpful tool for explorative analysis of large and complex data. Most clustering methods will, however, find clusters also in random data. An important aspect of cluster analysis is therefore to distinguish real and artificial clusters, as this will make interpreta
Contaminated normal modeling with application to microarray data analysis
β Scribed by Hongying Dai; Richard Charnigo
- Publisher
- John Wiley and Sons
- Year
- 2010
- Tongue
- French
- Weight
- 189 KB
- Volume
- 38
- Category
- Article
- ISSN
- 0319-5724
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