Kmeans algorithm using MapReduce to cluster the provided data set.

$10-30 USD

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投稿日:

5年以上前

$10-30 USD

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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.

Hadoop

Machine Learning (ML)

Map Reduce

Python

プロジェクト ID: 18089981

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アクティブ 5年前

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この仕事に4人のフリーランサーが、平均$18 USDで入札しています

@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

$25 USD 1日以内

1.8

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2.5

@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.

$10 USD 1日以内

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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.

$25 USD 1日以内