K-Means algorithm implementation with Hadoop and Spark for the course of Cloud Computing of the MSc AIDE at the University of Pisa.
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Updated
Oct 16, 2020 - Java
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
This is personal AI shopping assistant android app, which helps in grocery shopping reminders
Project for the "Cloud Computing" class at Pisa University
cluster documents, detect topics, and represent documents in topic space using Java, Python, Scikit-Learn, KmeansClusturing, Weka, LDA
Predicting the success of movie based on Social Media.
understand the meanings of words in literature based on semantic usage
Artificial Intelligence course at PJAIT
K-Means on Hadoop MapReduce
This is the code I created that corresponds to my publication named 'Load-Aware Scheduling in Local Area Networks Using Clustering'.
Simple to use KMeans Java library.
A Machine Learning algorithm that assigns the data of a given dataset to a number of clusters.
Projects regarding neural networks developed during the Computational Intelligence course @cse.uoi.gr
visualizing data
Prácticas de la asignatura "Ingeniería del Conocimiento" de 4º del grado en Ingeniería del Software (UCM)
K-means clustering, using a ball tree as internal data structure to accelerate the computation.
Use recipe ingredients to categorize the cuisine by Logistic Regression. This project was made by University of Richmond ACM AI group by Joshua Hayes, Wallace He and Tom Le.
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