Implement a Kmeans algorithm using MapReduce to cluster the provided data set.

Completado Publicado hace 5 años Pagado a la entrega
Completado Pagado a la entrega

A 2-d data with 100,000 instances

is provided. You can code it with any programming language you prefer.

Basic Tasks:

1. Describe how you implement the K-means using Mapreduce and what problems you’ve

encounter.

2. Run the algorithm in a single iteration with different number of k: k =60, k= 80 and k=100.

3. Report the execution time with different k in a single iteration: k =60, k= 80 and k=100.

4. Submit your Java file/ other format of programming file with comments and detail documentation

on how to execute your code (or a Readme file).

Figure out a way that you can run the algorithm with 30 iterations with a k= 100. Report

your results (the final centers and the assignments for each centers).

After you’ve finished the first question, visualize your result using a 2-d plot.

Testing to be done using hadoop

NOTE: the deadline for this project is tuesday 11/25/18 EST 10:00 am

Algoritmos Hadoop Java Map Reduce

Nº del proyecto: #18231770

Sobre el proyecto

2 propuestas Proyecto remoto Activo hace 5 años

Adjudicado a:

dipta007

Hey, i am interested on your project. I have three years experience of programming. Check out my github profile [login to view URL]

$20 USD en 1 día
(0 comentarios)
0.0

2 freelancers están ofertando un promedio de $23 por este trabajo

stcdd002

Hi. Nice to meet you. I have read your description. I'm very interested in your project because I have worked with machine learning for 5+ years. If you give me a chance I'll provide perfect result. Please contact Más

$25 USD en 1 día
(0 comentarios)
0.0