• VAISHALI SURESH WAGH
• Dr. V. S. Narayana Tinnaluri

Clustering is the unsupervised method of assigning entities into teams supported similarities among those entities. Image clump is the crucial step of mining satellite pictures. Because the satellite imagination is obtaining generated at a better rate than the previous decades, it becomes essential to own higher solutions in terms of accuracy moreover as performance. during this paper, we are proposing the answer over massive knowledge platform Apache The spark that performs the clump of pictures exploitation different ways viz. scalable K-means++, Bisecting K-means and Gaussian Mixture. Since the amount of clusters aren't far-famed beforehand in any of the ways, we can also take approach of corroborative the number of clusters exploitation straightforward Silhouette Index algorithm and so to supply the most effective cluster attainable.

Satellite images, Clustering, Scalable Kmeans++,Distributed Processing.

"Solution for Grouping of Satellite Imageries Using Bigdata Platform Spark", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.6, Issue 4, page no.236-238, April-2019, Available :http://www.jetir.org/papers/JETIR1904I40.pdf

"Solution for Grouping of Satellite Imageries Using Bigdata Platform Spark", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.6, Issue 4, page no. pp236-238, April-2019, Available at : http://www.jetir.org/papers/JETIR1904I40.pdf