  Clustering of image is one of the important steps of mining satellite images.
In our experiment we have simultaneously run multiple K-means algorithms with
different initial centroids and values of k in the same iteration of MapReduce
jobs. For initialization of initial centroids we have implemented Scalable
K-Means++ MapReduce (MR) job [1]. We have also run a validation algorithm of
Simplified Silhouette Index [2] for multiple clustering outputs, again in the
same iteration of MR jobs. This paper explored the behavior of above mentioned
clustering algorithms when run on big data platforms like MapReduce and Spark
jobs. Spark has been chosen as it is popular for fast processing particularly
where iterations are involved.
