machine learning algorithm

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

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

IDS based on Machine Learning technical

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

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

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

A lightweight particle filter library for the ROS context.

Data Mining course projects

Data Mining course projects

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

machine learning method implemention

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

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

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

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

K-means Clustering in CUDA with OpenGL Visualization