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.
Implementations of various common Clustering algorithms.
Collection of clustering algorithms for polygonal curves.
Clustering methods implementations in C++: Lloyd, K-Means, K-Means++, PAM
Clone the Lloyds of London Taking Control Page
Neighbor Search and Clustering for Vectors using Locality-sensitive hashing and Randomized Projection to Hypercube
Vectors - Nearest neighbor search and Clustering using LSH, Hypercube (and Lloyd's only at the clustering) algorithms with L2 metric.
ETH Zurich Fall 2017
K-Means (Lloyd's Methos) using MATLAB
Get an overview of your spending with Lloyds.
Multiple algorithms on KNN & Clustering on MNIST dataset implemented in C++ & .Jupyter Notebook
This project is a clone of the Lloyds banking application, built using React Native and TypeScript. It aims to replicate the core functionalities of the Lloyds banking app, including user authentication, creating and managing payees, viewing account details, making payments, and managing cards.
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