Summarizing Online Movie Reviews: A Machine Learning Approach to Big Data Analytics

<table class="algorithm-group"><tr><td><table class="algorithm" id="alg1"><tr><td>(1)</td><td>Pick the number of clusters, K</td></tr><tr><td>(2)</td><td>Initialize cluster centroid by randomly choosing K random points from given data as cluster centroids</td></tr><tr><td>(3)</td><td>Determine the summation of squared distance between data points (Pts) and all the other cluster centroids</td></tr><tr><td>(4)</td><td>Allot each data point (Pt) to the nearby cluster centroid</td></tr><tr><td>(5)</td><td>Recompute centroids of the new clusters by getting mean of the all data points belonging to each cluster</td></tr><tr><td>(6)</td><td>Repeat steps 3 to 5 until centroids in new clusters do not change</td></tr></table></td></tr></table>

<div>Pseudocode of the semantic K-means clustering algorithm.</div>

Scientific Programming

alg1

Algorithm 1

Algorithm 1: Summarizing Online Movie Reviews: A Machine Learning Approach to Big Data Analytics 