Visualisation of high-dimensional data using an ensemble of neural networks.
Nikolaos GianniotisCarsten RiggelsenPublished in: CIEL (2013)
Keyphrases
- high dimensional data
- neural network
- high dimensional
- dimensionality reduction
- nearest neighbor
- regression problems
- high dimensionality
- low dimensional
- high dimensions
- data sets
- data analysis
- original data
- data points
- dimension reduction
- subspace clustering
- pattern recognition
- clustering high dimensional data
- data distribution
- high dimensional spaces
- similarity search
- sparse representation
- dimensional data
- input space
- text data
- locally linear embedding
- input data
- variable selection
- nonlinear dimensionality reduction
- linear discriminant analysis
- ensemble methods
- small sample size
- lower dimensional
- high dimensional data sets
- high dimensional datasets
- image data
- knn
- learning algorithm
- decision trees
- real world