CCM: Controlling the Change Magnitude in High Dimensional Data.
Cesare AlippiGiacomo BoracchiDiego CarreraPublished in: INNS Conference on Big Data (2016)
Keyphrases
- high dimensional data
- dimensionality reduction
- nearest neighbor
- high dimensional
- data sets
- high dimensions
- subspace clustering
- low dimensional
- high dimensionality
- data points
- original data
- data analysis
- clustering high dimensional data
- complex data
- dimension reduction
- similarity search
- high dimensional datasets
- manifold learning
- data distribution
- text data
- nonlinear dimensionality reduction
- sparse representation
- input data
- variable selection
- input space
- lower dimensional
- subspace learning
- high dimensional spaces
- linear discriminant analysis
- pattern recognition
- text classification
- machine learning
- high dimensional data sets
- data mining