Computer vision exercises

Project for the Neural Networks course @cse.uoi.gr

A k-means algorithm implementation to c language.

A simple multithread implementation of the n-dimensional K-means algorithm developed in C using OpenMP.

Parallel implementation of K-means Clustering algorithm using OpenMp in C

Genetic diseases analyzation using K-means clustering and OpenMP.

A project that involved C programming. Where we made use of parallel implementations of OpenMPI and Cuda. We compared the performance of these two and attempted to perform K Means and Fuzzy C Means clustering on synthetic data.

A simple k-means algorithm where the centroids are already defined.

Machine learning methods and image processing were utilized to determine whether a surface contains a deformity. Through the development of a C++ program to generate surface deformities given image length, width, maximum deformity radius, and sample size as the training set, we utilize machine learning classifiers, namely Convolution Neural Netw…

C Implementation of the K-MEANS algorithm. The code has been parallelized using the OpenMP API.

Clustering algorithm with other functions (Laplacian Norm, Jacobi algorithm - Eigenvalues and Eigenvectors extractor, etc)

Image Compression using K-Means Algorithm

Proyecto de genética utilizando OpenMP y K-means clustering

Fuzzing with the generated argument

Various MPI and PThreads optimizations for boosting performances of k-means clustering algorithm

The text message is encrypted using 128 bit key AES encryption. Then steganography is performed using k-means clustering and LSB technique

This program implements the K-means clustering algorithm using OpenMP APIs. The K-means algorithm is a popular method of vector quantization that aims to partition n observations into k clusters. Each observation is assigned to the cluster with the nearest mean, serving as a prototype of the cluster.

K-Mean clustering algorithm implementation in C++ with GLFW3 OpenGL

Proyecto para arquitectura de computadores: Trata de una simplificación de una aplicación real, del ámbito del (NLP) Natural Language Processing y (ML) Machine Learning al que se le van a aplicar tecnicas de paralelizacion mediante la libreria de OpenMP para encontrar la version mas eficiente.

K-means algorithm visualizer with c