A non-parametric k-nearest neighbour entropy estimator.
Damiano LombardiSanjay PantPublished in: CoRR (2015)
Keyphrases
- k nearest neighbour
- knn
- information gain
- nearest neighbour
- k nearest neighbor
- least squares
- information theoretic
- text categorisation
- mutual information
- support vector machine
- maximum likelihood
- knn algorithm
- kernel density estimator
- text categorization
- nearest neighbor
- feature selection
- support vector machine svm
- probability density function
- multi layer perceptron
- computer vision
- kernel density estimation
- neural network
- data analysis
- decision trees
- learning algorithm
- machine learning