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[PDF][PDF] Addressing limitations of the K-means clustering algorithm: Outliers, non-spherical data, and optimal cluster selection
AM Abdussamad, A Inayat - AIMS Math, 2024 - aimspress.com
Addressing limitations of the K-means clustering algorithm: outliers, non-spherical data, and
optimal cluster selection Page 1 AIMS Mathematics, 9(9): 25070–25097. DOI: 10.3934/math.20241222 …
optimal cluster selection Page 1 AIMS Mathematics, 9(9): 25070–25097. DOI: 10.3934/math.20241222 …
Improved Earthquake Clustering Using a Density‐Adaptive DBSCAN Algorithm: An Example from Iran
S Sabermahani… - Seismological …, 2024 - pubs.geoscienceworld.org
DBSCAN is a widely used unsupervised machine learning algorithm for clustering and
spatial data analysis. However, the accuracy of the algorithm is highly dependent on the …
spatial data analysis. However, the accuracy of the algorithm is highly dependent on the …
Perbandingan Antara Algoritma K-Means Dan Algoritma Bisecting K-Means Dalam Menganalisis Gempa Bumi Di Indonesia
A Tania, T Handhayani… - Simtek: jurnal sistem …, 2023 - ejournal.catursakti.ac.id
Gempa bumi, khusus nya gempa tektonik adalah gempa yang paling sering terjadi di
Indonesia. Hal itu dikarenakan kondisi geografis Indonesia yang terletak pada daerah …
Indonesia. Hal itu dikarenakan kondisi geografis Indonesia yang terletak pada daerah …
Optimizing Earthquake Forecast Through Clustering: K-Means and DBSCAN Approaches
IM Rajagukguk, BK Lukito… - 2024 International …, 2024 - ieeexplore.ieee.org
An earthquake happens when the energy from the fracture of rock strata within the crust
causes the earth to vibrate. Earth's surface experiences seismic waves because of this …
causes the earth to vibrate. Earth's surface experiences seismic waves because of this …
Hierarchical K-means clustering of earthquake data for in-depth spatial and magnitude analysis in Gujarat, India
This study aims to understand seismic patterns by analysing the spatial, magnitude, and
depth distribution of seismic events in Gujarat, India, using hierarchical K-means clustering …
depth distribution of seismic events in Gujarat, India, using hierarchical K-means clustering …
Clustering of disaster prones areas in Java Island
Indonesia is one of the countries that has a high level of disaster risk index. This is caused
by many factors, including geographical location, climate and weather conditions, and …
by many factors, including geographical location, climate and weather conditions, and …