This project classifies images from the Flower102 dataset using k-means clustering followed by K-Nearest Neighbors (KNN) classification. It optimizes KNN parameters to achieve high accuracy, with the best results obtained using 7 clusters and 5 nearest neighbors.

Generate a color palette from an image using k-means clustering in the Oklab color space.

Dive into the world of Machine Learning in this immersive lab course, exploring open-source tools and algorithms such as random forest, SVM, linear regression, PCA, K-means, LDA, KNN, decision tree, and more. Engage in real-world ML projects and deploy your models, gaining practical experience in the forefront of AI technology.

Fast and high quality image quantization and palette generation in the sRGB, Oklab, or CIELAB color spaces.

Machine Learning | Fall 2023

Statistical Learning Algorithm Implementation.

K-means clustering algorithm using MapReduce.

Course Material for Artificial Intelligence and Machine Learning - Unit 2 @ Computer Science Dept, Sapienza

clustering of electricity consumers

Scan Tailor Experimental is an interactive post-processing tool for scanned pages.

KMeans implementations in fortran

This project classifies flower images from the Oxford 102 Dataset using K-means clustering for feature extraction and machine learning for classification. It achieves efficient and accurate classification with optimized feature extraction and reduced feature sets.

Plain python implementations of basic machine learning algorithms

Customer personality analysis helps a business to modify its product based on its target customers from different types of customer segments.

This repository focuses on building clustering algorithms from scratch using only Numpy for faster array processing.

AsanaAi extends its reach to Android devices, offering users the convenience of fitness and wellness on the go. Leveraging TensorFlow Lite for pose estimation and K-means clustering for accurate exercise counting, the Android app ensures seamless integration of AI technologies into users' daily routines, making fitness more accessible and engaging

SDLDpred - Symptom-based Drugs of Lifestyle-related Diseases prediction

A CLI tool to find the dominant colours in an image 🎨

Efficient Implementation of Kmeans++ Algorithm

Given a dataset with information about 167 countries, the goal of this experiment is to segmentate the countries in clusters to then determine which groups may need help more urgently using clustering techniques.