Random Projection Towards the Baire Metric for High Dimensional Clustering.
Fionn MurtaghPedro ContrerasPublished in: SLDS (2015)
Keyphrases
- random projections
- high dimensional
- high dimensionality
- dimensionality reduction
- low dimensional
- high dimensional data
- data points
- dimension reduction
- document clustering
- unsupervised learning
- k means
- clustering method
- lossy image compression
- distance metric
- clustering algorithm
- metric learning
- sparse representation
- cluster analysis
- original data
- feature space
- principal component analysis
- image reconstruction
- distance function
- hash functions
- knn
- text documents
- image representation
- pattern recognition
- multiscale
- feature extraction
- learning algorithm