Model-based regression clustering for high-dimensional data: application to functional data.
Emilie DevijverPublished in: Adv. Data Anal. Classif. (2017)
Keyphrases
- high dimensional data
- data points
- data sets
- original data
- data analysis
- data distribution
- dimensionality reduction
- high dimensions
- high dimensionality
- nearest neighbor
- complex data
- low dimensional
- subspace clustering
- high dimensional
- input space
- regression problems
- high dimensional datasets
- high dimensional data sets
- lower dimensional
- dimension reduction
- dimensional data
- similarity search
- input data
- training data
- nonlinear dimensionality reduction
- clustering high dimensional data
- database
- missing values
- regression model
- manifold learning
- spectral clustering
- knowledge discovery