Isometric embeddings in trees and their use in the diameter problem.

Guillaume Ducoffe

Published in: CoRR (2020)

Keyphrases

manifold learning
euclidean space
low dimensional
decision trees
vector space
dimensionality reduction
high dimensional
learning algorithm
tree models
tree structures
dimension reduction
data sets
euclidean distance
association rules
data analysis
case study
information systems
maximum distance