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Kmeans algorithm using MapReduce to cluster the provided data set.

A 2-d data with 100,000 instances

is provided.

Using K means Map Reduce in Hadoop with Python, Write the code in python to do below steps

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

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

Run the algorithm with 30 iterations with a k= 100. Report the results (the final centers and the assignments for each center).

Visualize the result using a 2-d plot.

Квалификация: Hadoop, Machine Learning (ML), Map Reduce, Python

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( 4 отзыв(-а, -ов) ) NEW PALTZ, United States

ID проекта: #18089981

4 фрилансеров(-а) в среднем готовы выполнить эту работу за $18

braincenter

I believe that my experience and skill in this background will prove to be of great help to you. Contact me to discuss more on the details

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ali18997

Hi, I recently completed a project of Brain MRI scan image segmentation with the help of K means clustering, here is the link: [login to view URL] I am sure I can help you w Больше

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vermaarn

I have extensive knowledge of implementing the k-means and k-mean++ algorithm in R. I have done it with many data sets multiple times so I am familiar with the process.

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bhuyanajaya9

• 5 + years of IT Experience in developing Object Orientation, Client /Server and web base application/Internet application using J2EE Internet Technologies. • 2 + years of IT Experience in Big data.

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