GitHub - nikossrp/LSH-Hypercube-Clustering: Implemenation of Locality-sensitive hashing, Hypercube for approximate near neighbors. Also, Clustering using K-means++ with Lloyd and Reverse search using LSH and Hypercube. For distance calculation used euclidean distance or Discrete Frechet or Continuous Frechet.

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Implemenation of Locality-sensitive hashing, Hypercube for approximate near neighbors. Also, Clustering using K-means++ with Lloyd and Reverse search using LSH and Hypercube. For distance calculation used euclidean distance or Discrete Frechet or Continuous Frechet.

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Name		Name	Last commit message	Last commit date
Latest commit History 14 Commits
Continuous_Frechet_github		Continuous_Frechet_github
Datasets		Datasets
Outputs		Outputs
BinaryTree.cpp		BinaryTree.cpp
BinaryTree.h		BinaryTree.h
Cluster.cpp		Cluster.cpp
Cluster.h		Cluster.h
Dataset.cpp		Dataset.cpp
Dataset.h		Dataset.h
Grid.cpp		Grid.cpp
Grid.h		Grid.h
HashTable.cpp		HashTable.cpp
HashTable.h		HashTable.h
Hypercube.cpp		Hypercube.cpp
Hypercube.h		Hypercube.h
LSH.cpp		LSH.cpp
LSH.h		LSH.h
Makefile		Makefile
Unit_test.cpp		Unit_test.cpp
Utilities.cpp		Utilities.cpp
Utilities.h		Utilities.h
cluster.conf		cluster.conf
ergasia2_2021.pdf		ergasia2_2021.pdf
main_cluster.cpp		main_cluster.cpp
main_search.cpp		main_search.cpp