Integrated Density based clustering algorithm (IDBSCAN) for High Dimensional Datasets

Syed Shareefunnisa, Maridu Bhargavi, Pavan Kumar Kolluru, Y Padma

Deep learning (DL) is most widely used in many applications to process the various datasets. Large datasets can also be processed with deep learning. Processing of huge datasets is little bit complicated to get the accurate results in classification and clustering. Artificial Intelligence (AI) is most widely used to solve various issues such as pattern recognition and other issues. In this paper, the Integrated Density based clustering algorithm (IDBSCAN) is introduced to process the huge datasets with accurate clustering results. To improve the performance of the proposed system principle component analysis (PCA) is adopted and reduce the dimensions of the huge dataset and process the quality of datasets.

Volume 11 | Issue 7

Pages: 304-312