XCSR based on compressed input by deep neural network for high dimensional data.
Kazuma MatsumotoRyo TakanoTakato TatsumiHiroyuki SatoTim KovacsKeiki TakadamaPublished in: GECCO (Companion) (2018)
Keyphrases
- high dimensional data
- neural network
- input data
- nearest neighbor
- dimensionality reduction
- high dimensional
- low dimensional
- data sets
- high dimensions
- subspace clustering
- similarity search
- high dimensionality
- data analysis
- data points
- original data
- neural network model
- manifold learning
- high dimensional datasets
- input space
- clustering high dimensional data
- lower dimensional
- high dimensional spaces
- high dimensional data sets
- data structure
- sparse representation
- low rank
- pattern recognition
- dimensional data
- nonlinear dimensionality reduction
- continuous action
- variable selection
- locally linear embedding
- knn