An ISA algorithm with unknown group sizes identifies meaningful clusters in metabolomics data.
Harold W. GutchJan KrumsiekFabian J. TheisPublished in: EUSIPCO (2011)
Keyphrases
- data sets
- input data
- meaningful clusters
- clustering analysis
- high dimensional data
- knowledge discovery
- data points
- similarity measure
- data analysis
- image data
- data mining techniques
- expectation maximization
- original data
- training data
- data streams
- pattern recognition
- association rule mining
- statistical tests
- interesting patterns
- subspace clustering