Greedy Algorithms for Approximating the Diameter of Machine Learning Datasets in Multidimensional Euclidean Space.
Ahmad B. A. HassanatPublished in: CoRR (2018)
Keyphrases
- euclidean space
- greedy algorithms
- machine learning
- greedy algorithm
- shape analysis
- metric space
- riemannian manifolds
- euclidean distance
- low dimensional
- vector space
- quadratic form
- pairwise distances
- data points
- neural network
- pattern recognition
- discrete space
- knapsack problem
- search algorithm
- geodesic distance
- decision trees
- data mining
- multi dimensional scaling
- dissimilarity matrix
- dimensional euclidean space
- semi supervised learning
- reinforcement learning
- computer vision
- learning algorithm
- data sets
- database
- dynamic programming
- cost function
- high dimensional
- data analysis
- lie group
- data structure
- fisher information
- feature selection
- constant curvature