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Project ID: 526
Author: Lubo Zhou
Project Title: IMPROVEMENT OF THE FIREFLIES-KMEANS CLUSTERING ALGORITHM
Semester: 1 2017
Committe Chair: Dr. Longzhuang Li
Committee Member 1: Dr. Ajay Katangur
Project Description: This project is to implement hybrid global cluster algorithms on high-performance Apache Spark platform. The algorithms combine present cluster algorithms and opti- mization algorithms for better performance. To be more specific, two kinds of variant fireflies algorithms are utilized to find global optima among several clustering possi- bilities to one dataset and use the global optima to initialize k-means algorithm. To improve the performance of fireflies algorithm, additional features are added into the algorithm. To test the performance of hybrid improved k-means algorithms, several experiments are performed on Apache Spark platform based on MapReduce model.
Project URL:   526.pdf