Closed-Form Expressions for Global and Local Interpretation of Tsetlin Machines with Applications to Explaining High-Dimensional Data.
Christian D. BlakelyOle-Christoffer GranmoPublished in: CoRR (2020)
Keyphrases
- high dimensional data
- closed form expressions
- high dimensional
- dimensionality reduction
- nearest neighbor
- low dimensional
- subspace clustering
- data points
- clustering high dimensional data
- data analysis
- high dimensionality
- closed form
- data sets
- similarity search
- upper bound
- input space
- manifold learning
- missing values
- high dimensional spaces
- database
- outlier detection
- high dimensional datasets
- partition function
- objective function
- underlying manifold