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   Articles with "dbscan algorithm" as a keyword



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A Distributed Neighbourhood DBSCAN Algorithm for Effective Data Clustering in Wireless Sensor Networks

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recommendations! Published in 2021 at "Wireless Personal Communications"

DOI: 10.1007/s11277-021-08836-y

Abstract: Conventional K-Means based distributed data clustering has limitation of detecting arbitrary shape clusters and requires number of clusters a priori. To alleviate these issues in this paper, a Distributed Neighborhood DBSCAN (DN-DBSCAN) algorithm is introduced… read more here.

Keywords: distributed neighbourhood; dbscan algorithm; data clustering; sensor ... See more keywords

Characterizing Diffusion Dynamics of Disease Clustering: A Modified Space–Time DBSCAN (MST-DBSCAN) Algorithm

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recommendations! Published in 2018 at "Annals of the American Association of Geographers"

DOI: 10.1080/24694452.2017.1407630

Abstract: Epidemic diffusion is a space–time process, and showing time-series disease maps is a common way to demonstrate an epidemic progression in time and space. Previous studies used time-series maps to demonstrate the animation of diffusion… read more here.

Keywords: diffusion; mst dbscan; space time; time ... See more keywords

An Improved Numerical DBSCAN Algorithm Based on Non-IIDness Learning

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recommendations! Published in 2021 at "IEEE Access"

DOI: 10.1109/access.2021.3081500

Abstract: In clustering algorithm research, objects, attributes and other aspects of data sets are usually considered to be independent and identically distributed; that is, each object is assumed to be an independent and uniformly distributed individual… read more here.

Keywords: based non; numerical dbscan; algorithm based; algorithm ... See more keywords

An improved DBSCAN algorithm based on cell-like P systems with promoters and inhibitors

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recommendations! Published in 2018 at "PLoS ONE"

DOI: 10.1371/journal.pone.0200751

Abstract: Density-based spatial clustering of applications with noise (DBSCAN) algorithm can find clusters of arbitrary shape, while the noise points can be removed. Membrane computing is a novel research branch of bio-inspired computing, which seeks to… read more here.

Keywords: cell like; promoters inhibitors; dbscan algorithm; systems promoters ... See more keywords

A Novel Density Based Clustering Algorithm by Incorporating Mahalanobis Distance

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recommendations! Published in 2018 at "International Journal of Intelligent Engineering and Systems"

DOI: 10.22266/ijies2018.0630.13

Abstract: Data clustering is one of the active research areas, which aims to group related data together. The process of data clustering improves the data organization and enhances the user experience as well. For this sake,… read more here.

Keywords: based clustering; dbscan algorithm; density based; clustering algorithm ... See more keywords

Bank Customer Segmentation and Marketing Strategies Based on Improved DBSCAN Algorithm

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recommendations! Published in 2025 at "Applied Sciences"

DOI: 10.3390/app15063138

Abstract: This study conducts a case study on the characteristics of fixed deposit businesses in a Portuguese bank, analyzing the current customer data features and the limitations of marketing strategies. It also highlights the limitations of… read more here.

Keywords: marketing strategies; dbscan algorithm; customer; customer segmentation ... See more keywords