k-means-clustering

K-Means algorithm implementation with Hadoop and Spark for the course of Cloud Computing of the MSc AIDE at the University of Pisa.

Repository of k-paths: code, dataset, technical report, visualization

Automatically exported from code.google.com/p/speech-recognition-java-hidden-markov-model-vq-mfcc

A Java program to cluster a dataset in CSV format using k-means clustering

Implementation of Machine Learning algorithms from scratch

visualizing data

This is personal AI shopping assistant android app, which helps in grocery shopping reminders

Project for the "Cloud Computing" class at Pisa University

A Machine Learning algorithm that assigns the data of a given dataset to a number of clusters.

Java library to grab color palettes from image.

understand the meanings of words in literature based on semantic usage

The ride-sharing simulation replicates services like Uber or Lyft, analyzing user demand, driver availability, and pricing dynamics for optimization.

A java implementation of image segmentation using k-means clustering, an unsupervised machine learning algorithm

A Simple Java application to cluster data using K-means clustering

Java and WEKA data-mining pipeline for water potability classification, K-Means clustering, association-rule mining, and saved-model inference.

☘️ version 2.0 allows users to fetch 5-10 clusters randomly from the Spring Boot backend server. It then feed the clusters to React+D3.js (Data-driven document) in the FE to form up a hierarchical tree

Simple algorithm I used for clustering data in another project.

Artificial Intelligence course at PJAIT

Clustering K-Means sequential version in Java (applied to image color reduction)

K-Means on Hadoop MapReduce