High Dimensional Data Clustering using Self-Organized Map.
Ruth Ema FebritaWayan Firdaus MahmudyAji Prasetya WibawaPublished in: Knowl. Eng. Data Sci. (2019)
Keyphrases
- high dimensional data
- high dimensionality
- data points
- nearest neighbor
- subspace clustering
- dimensionality reduction
- high dimensional
- data sets
- high dimensions
- low dimensional
- high dimensional data sets
- clustering high dimensional data
- data analysis
- high dimensional datasets
- data distribution
- similarity search
- dimension reduction
- original data
- linear discriminant analysis
- nonlinear dimensionality reduction
- high dimensional spaces
- input space
- text data
- sparse representation
- small sample size
- input data
- k means
- high dimensional data analysis
- dimensional data
- manifold learning
- locally linear embedding
- training set
- clustering algorithm
- computer vision