Program K-means clustering using java programming language

The projects implemented as a part of the Cloud Computing course using Big Data Technologies

Comp3207

Understanding Big Data Analytics by using Map Reduce for performing various tasks like Blooms Filter, Frequent Itemset, KMeans, Matrix Multiplication, Finding Maximum Temperature, Finding Word Count, and Analyzing Electricity Consumption

KMeans algorithm implementation.

Simple application help you to estimate your salary base on many company salaries

Clustering music ratings with k-Means via MapReduce

This is a modified version of the Webpage-Similarity project. With the addition of 190 more wikipedia pages, a more efficient method of data management is required. The main focus of this project is to create clusters, use persistent data stores and extendible hashing for quick data retrieval.

An android application to clusters employees according to their level of corruption.

Text clustering Reuters-21578 test collection using K-Means algorithm

Analysis and clustering of big data using Hadoop and Flink programming using K-mean on Flow Cytometry Data to identify cells exhibiting similar behaviour and cluster together and remove outliers to identify characteristics of cells which may lead to cancer.

Clustering Tweets with K-means

K-Mean clustering program in Java to cluster the data point into 4 clusters

Tugas Akhir Pemprograman 1 - Clustering - Semester 4 - Universitas Pamulang

With the help of Pattern reorganization and Machine Learning ( clustering ) predicting accidents using the accelerator in the mobile phones.

Este proyecto consiste en la construcción de un sistema de recuperación de información que puede manipular documentos de diferentes formatos provenientes de un repositorio de información. La aplicación utiliza herramientas como Lucene y Tika para indexar y extraer información de los documentos.

Implementation of k-means clustering algorithm.

Perform k-means clustering on the given 2d coordinates

java implementation of classification and clustering algorithms

Some basic classification methods (Naive Bayes, Decision Trees, Nearest Neighbour, Perceptrons) implemented from scratch in Java