machine learning algorithm

A C++ implementation of simple k-means clustering algorithm.

Optimized route discovery for AODV routing algorithm using K-Means clustering

Sequential and Parallel(using Open MP and Pthreads) Implementations(c++) of the K Means Clustering Algorithm and visualizing the results for a comparative study of the Speedup and Efficiency achieved in 3 different implementations

IDS based on Machine Learning technical

A repo to allow validation of performance results in the knor paper and provide a fast, scalable k-means implementation.

Data Mining course projects

A lightweight particle filter library for the ROS context.

Data Mining course projects

A KMeans implemented in C++ with Python bindings and GPU acceleration

Basic Image Processing exercises. (Trying to not use openCV implementation)

machine learning method implemention

C++ programming for Data Science. K-means clustering. K-nearest neighbor algorithm. Neural Networks.

K-Means clustering in C++17: header-only sequential and parallel implementations

Macerals identification in microscopical coal images by using image processing techniques (segmentation))

A version of the K-Means Algorithm targeting the Capacitated Clustering Problem

Coreset for Individual Fairness

Kmeans-clustering based on point-cloud data.

Implementation of the K-Means++ Algorithm for better centroid initializations than the standard version of K-Means Algorithm

📈 kNN using LSH and Hypercube projection & Clustering using kMeans++ for n-dim polygonal curves and time series