Density-Based Spatial Clustering of Applications with Noise (DBSCAN) and Principal Component Analysis (PCA) for Anomaly Detection

Density-Based Spatial Clustering of Applications with Noise (DBSCAN) and Principal Component Analysis (PCA) for Anomaly Detection

This research addresses a critical issue in industrial environments: air quality, specifically regarding PM 1.0 and PM 2.5. High concentrations of these particles pose significant health risks. The study measures temperature, humidity, pressure, altitude, PM 1.0, and PM 2.5 and shows the effectivene...

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Bibliographic Details
Main Authors: Hanna Arini Parhusip, Suryasatriya Trihandaru, Bambang Susanto, Adrianus Herry Heriadi, Petrus Priyo Santosa, Yohanes Sardjono, Johanes Dian Kurniawan
Format: Article
Language:English
Published: Udayana University, Institute for Research and Community Services 2024-07-01
Series:Lontar Komputer
Online Access:https://ojs.unud.ac.id/index.php/lontar/article/view/109995
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https://ojs.unud.ac.id/index.php/lontar/article/view/109995

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