Sequential Superparamagnetic Clustering for Unbiased Classification of High-Dimensional Chemical Data.
Thomas OttAlbert KernAnsgar SchuffenhauerMaxim PopovPierre AcklinEdgar JacobyRuedi StoopPublished in: J. Chem. Inf. Model. (2004)
Keyphrases
- data points
- high dimensional
- high dimensional data
- pattern recognition
- clustering analysis
- data sets
- sparse data
- high dimensionality
- data structure
- data analysis
- spectral clustering
- original data
- database
- data collection
- multidimensional data
- training samples
- support vector machine
- knowledge discovery
- data reduction
- noisy data
- dimension reduction
- dimensional data
- machine learning
- similarity measure
- sequential data
- training data
- feature space
- text classification
- data sources
- cluster analysis
- clustering method
- support vector machine svm
- low dimensional