With respect to what?: simultaneous interaction with dimension reduction and clustering projections.
John E. WenskovitchMichelle DowlingChris NorthPublished in: IUI (2020)
Keyphrases
- dimension reduction
- cluster analysis
- high dimensional data
- high dimensional data analysis
- unsupervised learning
- high dimensionality
- linear projection
- feature extraction
- clustering algorithm
- high dimensional
- high dimensional problems
- principal component analysis
- random projections
- data mining and machine learning
- manifold learning
- clustering method
- singular value decomposition
- linear discriminant analysis
- k means
- low dimensional
- feature selection
- dimensionality reduction
- variable selection
- feature space
- partial least squares
- data clustering
- data sets
- subspace clustering
- self organizing maps
- discriminative information
- document clustering
- preprocessing
- data mining
- preprocessing step
- nearest neighbor
- data points
- object recognition
- real world