Distributional Reduction: Unifying Dimensionality Reduction and Clustering with Gromov-Wasserstein Projection.
Hugues Van AsselCédric Vincent-CuazNicolas CourtyRémi FlamaryPascal FrossardTitouan VayerPublished in: CoRR (2024)
Keyphrases
- dimensionality reduction
- high dimensionality
- high dimensional data
- data points
- unsupervised learning
- pattern recognition and machine learning
- clustering algorithm
- clustering method
- linear projection
- discriminant projection
- high dimensional
- hierarchical clustering
- hausdorff distance
- cluster analysis
- singular value decomposition
- euclidean distance
- feature extraction
- random projections
- principal components
- dealing with high dimensional data
- principal components analysis
- unsupervised feature selection
- data objects
- data clustering
- information theoretic
- principal component analysis
- k means
- distance metric
- manifold learning
- input space
- categorical data
- outlier detection
- low dimensional
- co occurrence
- projection method
- structure preserving
- feature space
- data mining
- neural network