HyperTools: a Python Toolbox for Gaining Geometric Insights into High-Dimensional Data.
Andrew C. HeusserKirsten ZimanLucy L. W. OwenJeremy R. ManningPublished in: J. Mach. Learn. Res. (2017)
Keyphrases
- high dimensional data
- dimensionality reduction
- high dimensional
- low dimensional
- data analysis
- nearest neighbor
- high dimensions
- data sets
- high dimensionality
- subspace clustering
- data points
- open source
- similarity search
- original data
- clustering high dimensional data
- sparse representation
- high dimensional data sets
- lower dimensional
- geometric structure
- input space
- manifold learning
- visual data
- dimension reduction
- input data
- data mining
- text data
- dimensional data
- high dimensional spaces
- linear discriminant analysis
- variable selection
- high dimensional datasets
- data structure
- subspace learning
- computer vision