Implement a Kmeans algorithm using MapReduce to cluster
$10-30 USD
Closed
Posted over 5 years ago
$10-30 USD
Paid on delivery
Implement a Kmeans algorithm using MapReduce to cluster the provided data set. 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).
5. 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).
[login to view URL] you’ve finished the first question, visualize your result using a 2-d plot.
hi,
I'm a software developer with over 5 years of experience working on various data-centric applications using numerous tools and technologies.
I'm interested in this project and hence would like to discuss it further with you.
thanks,
tofii
Expertise in MATLAB with a substantial background in K-means and other clustering techniques
I have completed various protects related this field as you can view my profile for completed projects. I can provide you your complete task in decided time frame with quality work.
We can discuss further details in the message box
Regards