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This repo holds the code, dataset, and running scripts for fast k-means evaluation
Neighbor Search and Clustering for Time-Series using Locality-sensitive hashing and Randomized Projection to Hypercube. Time series comparison is performed using Discrete Frechet or Continuous Frechet metric.
Collection of clustering algorithms for polygonal curves.
Neighbor Search and Clustering for Vectors using Locality-sensitive hashing and Randomized Projection to Hypercube
Lloyd's insurance market replicated as Ethereum/Solidity based smart contracts
Clone the Lloyds of London Taking Control Page
Vectors - Nearest neighbor search and Clustering using LSH, Hypercube (and Lloyd's only at the clustering) algorithms with L2 metric.
Implementations of various common Clustering algorithms.
Clustering methods implementations in C++: Lloyd, K-Means, K-Means++, PAM
K-Means (Lloyd's Methos) using MATLAB
ETH Zurich Fall 2017
Multiple algorithms on KNN & Clustering on MNIST dataset implemented in C++ & .Jupyter Notebook