Cross Breed Clustering Algorithm for High Dimensional Data
Y.Vijay Bhaskar Reddy1, L.S.S Reddy2, S.S.N.Reddy3
1Y.Vijay Bhaskar Reddy, Associate Professor, Vardhaman College Of Engineering, Hyderabad.
2Dr. L.S.S Reddy, Vice Chancellor, KLEF, Guntur.
3Dr. S.S.N. Reddy, Principal, Vardhaman College of Engineering Hyderabad.
Manuscript received on October 16, 2019. | Revised Manuscript received on 25 October, 2019. | Manuscript published on November 10, 2019. | PP: 5049-5052 | Volume-9 Issue-1, November 2019. | Retrieval Number: A5313119119/2019©BEIESP | DOI: 10.35940/ijitee.A5313.119119
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: Clustering plays a major role in machine learning and also in data mining. Deep learning is fast growing domain in present world. Improving the quality of the clustering results by adopting the deep learning algorithms. Many clustering algorithm process various datasets to get the better results. But for the high dimensional data clustering is still an issue to process and get the quality clustering results with the existing clustering algorithms. In this paper, the cross breed clustering algorithm for high dimensional data is utilized. Various datasets are used to get the results.
Keywords: Clustering, Data Mining, Deep Learning.
Scope of the Article: Clustering