ENHANCING DATA MINING PERFORMANCE WITH THE DBSCAN DENSITY-BASED CLUSTERING ALGORITHM

Ranjeet Kumar; Dr. Ravindra Kumar Gupta

ENHANCING DATA MINING PERFORMANCE WITH THE DBSCAN DENSITY-BASED CLUSTERING ALGORITHM

April 2025

Vol-11, Issue-2

Paper ID: 26229

ISSN: 2395-4396

Downloads: 0

Abstract & Details

Research Area

COMPUTER SCIENCE & ENGINEERING

Keywords

Data Mining Clustering Algorithms DBSCAN (Density-Based Spatial Clustering of Applications with Noise) Performance Optimization Density Variations High-Dimensional Data Noise Handling Parameter Tuning Adaptive Clustering

Abstract

Data mining techniques play a crucial role in extracting valuable insights from large datasets, with clustering methods being among the most widely used. The Density-Based Spatial Clustering of Applications with Noise (DBSCAN) algorithm is notable for its ability to identify clusters of varying shapes while effectively handling noise. However, DBSCAN faces limitations with high-dimensional data and varying density clusters, which restrict its performance in complex datasets. This thesis investigates methods to enhance the performance of DBSCAN, focusing on optimizing parameters, improving computational efficiency, and addressing density variations within clusters. We propose an advanced DBSCAN framework that integrates adaptive parameter selection and novel density-based heuristics to improve accuracy and scalability in high-dimensional data mining applications. Experimental results demonstrate that the enhanced DBSCAN algorithm achieves superior clustering accuracy, reduced computational time, and improved noise resilience compared to the traditional DBSCAN. These findings highlight the enhanced DBSCAN's potential as a robust clustering solution for real-world data mining tasks, particularly in scenarios involving large, complex datasets.

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Author Information

#	Name	Institute / Affiliation
1	Ranjeet Kumar	R.K.D.F.I.S.T., BHOPAL
2	Dr. Ravindra Kumar Gupta	R.K.D.F.I.S.T., BHOPAL

How to Cite

Use the following formats to cite this article in your research.

APA Style

Kumar, Ranjeet & Gupta, Dr. Ravindra Kumar (2025). ENHANCING DATA MINING PERFORMANCE WITH THE DBSCAN DENSITY-BASED CLUSTERING ALGORITHM. International Journal of Advance Research and Innovative Ideas In Education, 11(2), 2117-2127.

MLA Style

Kumar, Ranjeet, and Dr. Ravindra Kumar Gupta. "ENHANCING DATA MINING PERFORMANCE WITH THE DBSCAN DENSITY-BASED CLUSTERING ALGORITHM." International Journal of Advance Research and Innovative Ideas In Education, vol. 11, no. 2, 2025, pp. 2117-2127.

IEEE Style

Ranjeet Kumar and Dr. Ravindra Kumar Gupta, "ENHANCING DATA MINING PERFORMANCE WITH THE DBSCAN DENSITY-BASED CLUSTERING ALGORITHM," International Journal of Advance Research and Innovative Ideas In Education, vol. 11, no. 2, pp. 2117-2127, 2025.

Vancouver Style

Kumar Ranjeet, Gupta Dr. Ravindra Kumar. ENHANCING DATA MINING PERFORMANCE WITH THE DBSCAN DENSITY-BASED CLUSTERING ALGORITHM. International Journal of Advance Research and Innovative Ideas In Education. 2025;11(2):2117-2127.

Harvard Style

Kumar, Ranjeet & Gupta, Dr. Ravindra Kumar (2025) 'ENHANCING DATA MINING PERFORMANCE WITH THE DBSCAN DENSITY-BASED CLUSTERING ALGORITHM', International Journal of Advance Research and Innovative Ideas In Education, 11(2), pp. 2117-2127.

Chicago Style

Kumar, Ranjeet and Dr. Ravindra Kumar Gupta. "ENHANCING DATA MINING PERFORMANCE WITH THE DBSCAN DENSITY-BASED CLUSTERING ALGORITHM." International Journal of Advance Research and Innovative Ideas In Education 11, no. 2 (2025): 2117-2127.

Turabian Style

Kumar, Ranjeet and Dr. Ravindra Kumar Gupta. "ENHANCING DATA MINING PERFORMANCE WITH THE DBSCAN DENSITY-BASED CLUSTERING ALGORITHM." International Journal of Advance Research and Innovative Ideas In Education 11, no. 2 (2025): 2117-2127.