Vectorized Highly Parallel Density-Based Clustering for Applications With Noise

Vectorized Highly Parallel Density-Based Clustering for Applications With Noise

Clustering in data mining involves grouping similar objects into categories based on their characteristics. As the volume of data continues to grow and advancements in high-performance computing evolve, a critical need has emerged for algorithms that can efficiently process these computations and ex...

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Bibliographic Details
Main Authors: Joseph Arnold Xavier, Juan Pedro Gutierrez Hermosillo Muriedas, Stepan Nassyr, Rocco Sedona, Markus Gotz, Achim Streit, Morris Riedel, Gabriele Cavallaro
Format: Article
Language:English
Published: IEEE 2024-01-01
Series:IEEE Access
Subjects:
High-performance computing
density-based clustering
vectorization
VHPDBSCAN
Online Access:https://ieeexplore.ieee.org/document/10769413/
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https://ieeexplore.ieee.org/document/10769413/

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