Simultaneous interaction with dimension reduction and clustering projections.
John E. WenskovitchMichelle DowlingChris NorthPublished in: IUI Companion (2019)
Keyphrases
- dimension reduction
- cluster analysis
- high dimensional data analysis
- high dimensional data
- high dimensionality
- unsupervised learning
- linear projection
- high dimensional
- feature extraction
- principal component analysis
- data mining and machine learning
- variable selection
- low dimensional
- feature space
- clustering algorithm
- clustering method
- high dimensional problems
- k means
- linear discriminant analysis
- singular value decomposition
- random projections
- partial least squares
- data clustering
- manifold learning
- feature subspace
- data points
- discriminative information
- spectral clustering
- nearest neighbor
- preprocessing
- self organizing maps
- feature selection
- dimension reduction methods
- data mining techniques
- distance metric
- discriminant analysis
- real world
- semi supervised
- optical flow
- data mining