| University | Temasek Polytechnic (TP) |
| Subject | Big Data Analysis |
Big Data analysis module
It’s to solve the given problems using MapReduce computational model and Hadoop cluster. There are Q1 and Q2. I need to include the following in my assignment submission:
(a) Write a brief summary on the impact of parameter changes on the performance of the k-means algorithm.
For example
1) compare the merits and demerits of different distance measures in k-means algorithm and
2) present a table that shows the performance of the k-means algorithm for different K values.
(b) Submit the code for the implementation along with some comments so that a layperson can follow. Anyone should be able to run your code and reproduce your results with the instructions that you have provided.
(c) Submit a report on the experiments.
This report will be a detailed explanation of what you explored, the results you obtained, and some discussion points on the limitations of MapReduce methodology and Hadoop’s MapReduce computing engine.
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