Big Data Analysis using MapReduce, Mahout and python
Budget: $30 – $250 USD
given a dataset and using only MapReduce framework and python, find the following:
• The difference between the maximum and the minimum for each day in the month
• The daily minimum
• the daily mean and variance
• the correlation matrix that describes the monthly correlation among set of columns
Using Mahout and python, do the following:
• Implement the K-Means clustering algorithm
• Find the optimum number (K) of clusters for the K-mean clustering
• Plot the elbow graph for K-mean clustering
• Compare the different clusters you obtained with different distance measures
• The difference between the maximum and the minimum for each day in the month
• The daily minimum
• the daily mean and variance
• the correlation matrix that describes the monthly correlation among set of columns
Using Mahout and python, do the following:
• Implement the K-Means clustering algorithm
• Find the optimum number (K) of clusters for the K-mean clustering
• Plot the elbow graph for K-mean clustering
• Compare the different clusters you obtained with different distance measures