Clustering methods implementations in C++: Lloyd, K-Means, K-Means++, PAM

ETH Zurich Fall 2017

K-Means (Lloyd's Methos) using MATLAB

Multiple algorithms on KNN & Clustering on MNIST dataset implemented in C++ & .Jupyter Notebook

Get an overview of your spending with Lloyds.

Implementations of various common Clustering algorithms.

Collection of clustering algorithms for polygonal curves.

Lloyd's insurance market replicated as Ethereum/Solidity based smart contracts

Vectors - Nearest neighbor search and Clustering using LSH, Hypercube (and Lloyd's only at the clustering) algorithms with L2 metric.

Clone the Lloyds of London Taking Control Page

Neighbor Search and Clustering for Vectors using Locality-sensitive hashing and Randomized Projection to Hypercube

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.

This repo holds the code, dataset, and running scripts for fast k-means evaluation