International Journal of Computer Applications |
Foundation of Computer Science (FCS), NY, USA |
Volume 181 - Number 6 |
Year of Publication: 2018 |
Authors: Akash Shrivastava, M. L. Garg |
10.5120/ijca2018917446 |
Akash Shrivastava, M. L. Garg . A Hybrid Genetic Fuzzy k-modes and Artificial Bee Colony Approach for Clustering YouTube Data. International Journal of Computer Applications. 181, 6 ( Jul 2018), 6-10. DOI=10.5120/ijca2018917446
The genetic fuzzy k-modes algorithm introduced by G.gan, J. Wu and z. Yang. The algorithm is proven to be very effective for cluster structures retrieved from categorical datasets. However, the algorithm is prone to fall into global optima when it is required to be implementing on streaming datasets like social media data. In order to search for suitable approach to overcome the global optimal challenge the hybrid approach of genetic fuzzy k-modes and artificial bee colony is being proposed. Experiments on YouTube datasets are carried out to illustrate the performance of proposed algorithm.