A program that implements the (K-) Nearest Neighbour method and evaluates data
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Updated
Apr 3, 2017 - Java
A program that implements the (K-) Nearest Neighbour method and evaluates data
📊 Use bootstrapping to normalise the data from opinion polls and make them similar to the population they represent.
Comparing machine learning algorithms for classifying forest stands with Landsat 8 imagery: a "learning" exercise
Implementation of Nearest Neighbor Clustering algorithm.
SIGIR 2017: Embedding-based query expansion for weighted sequential dependence retrieval model
Some basic classification methods (Naive Bayes, Decision Trees, Nearest Neighbour, Perceptrons) implemented from scratch in Java
Particle Filter implemented in C++ using nearest neighbor data association
Full implementation of Nearest Neighbor algorithm from scratch
Analysis of mosaic distribution for population of neurons
Nearest neighbor search in two dimension
Simple jupyter notebook which performs NN and PCA algorithms on sklearn datasets
Differentiating between Twitter bots and real users
Retinize will upscale (using nearest neighbor) images to look correctly on retina screens. This is particularly useful for pixel art when you don't want to store an upscaled version.
Collections and related data structures
The travelling salesman problem (TSP) asks the following question: Given a list of cities and the distances between each pair of cities, what is the shortest possible route that visits each city exactly once and returns to the origin city?
An implementation of 4 machine learning algorithms from scratch
Implementation of my master thesis
🚚 University Project - Algorithm Design and Analysis - Garbage Truck Route Generation
Traveling Salesman Problem (TSP).
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