Partition clustering of high dimensional low sample size data based on p-values.
George von BorriesHaiyan WangPublished in: Comput. Stat. Data Anal. (2009)
Keyphrases
- sample size
- high dimensional
- data points
- data sets
- high dimensional data
- input space
- spectral clustering
- input data
- sparse data
- data analysis
- nearest neighbor
- data structure
- training data
- model selection
- random sample
- clustering algorithm
- confidence intervals
- categorical attributes
- dimensionality reduction
- high dimensionality
- feature space
- decision trees
- learning algorithm