PIVE: Per-Iteration Visualization Environment for Real-Time Interactions with Dimension Reduction and Clustering.
Hannah KimJaegul ChooChanghyun LeeHanseung LeeChandan K. ReddyHaesun ParkPublished in: AAAI (2017)
Keyphrases
- dimension reduction
- real time
- cluster analysis
- high dimensional data
- high dimensional data analysis
- unsupervised learning
- high dimensionality
- self organizing maps
- generative topographic mapping
- principal component analysis
- feature extraction
- low dimensional
- variable selection
- clustering method
- manifold learning
- feature selection
- high dimensional
- high dimensional problems
- random projections
- data clustering
- dimensionality reduction
- clustering algorithm
- data mining and machine learning
- feature space
- linear discriminant analysis
- partial least squares
- data points
- singular value decomposition
- k means
- feature subspace
- nearest neighbor
- data sets
- discriminative information
- pairwise
- pattern recognition
- preprocessing step
- spectral clustering
- text classification
- data analysis
- object recognition
- image processing
- dimension reduction methods
- real world
- sparse metric learning