[HTML][HTML] Determining the optimal number of clusters by Enhanced Gap Statistic in K-mean algorithm

IK Khan, HB Daud, NB Zainuddin… - Egyptian Informatics …, 2024 - Elsevier
Unsupervised learning, particularly K-means clustering, seeks to partition data into clusters
with distinct intra-class cohesion and inter-class disparity. However, the arbitrary selection of …

Ensemble clustering in GPS velocities: a case study of Turkey

B Kılıç, S Özarpacı - Applied Sciences, 2022 - mdpi.com
Block modeling is an effective way to understand Earth's crustal deformation. However, the
choice of block boundaries and the number of blocks affect the model results. Therefore, the …

[HTML][HTML] A rational delineation method for active land blocks on the southeastern margin of the Tibetan Plateau based on high-precision GNSS horizontal velocity …

L Zhang, W Qu, R Huang, Z Ye, X Tong - International Journal of Applied …, 2024 - Elsevier
As one of the most geologically active regions on Earth, accurate delineation of active land
blocks and analysis of crustal deformation characteristics in the southeastern margin of the …

Machine learning approach for GNSS geodetic velocity estimation

S Özarpacı, B Kılıç, OC Bayrak, M Taşkıran, U Doğan… - GPS Solutions, 2024 - Springer
This study aimed to investigate the performance of machine learning (ML) algorithms in
determining horizontal velocity at specific points using the current Global Navigation …

Sampling fingerprints from multimedia content resource clusters

U Rashid, S Naseer, AR Khan, MA Khan, G Ali… - IEEE …, 2023 - ieeexplore.ieee.org
Nowadays, the growth of multimedia content over the web is exponential. The fingerprints
are inconspicuously embedded in multimedia content. The fingerprints can be exploited to …

SafeRoutes: Charting a Secure Path-A Holistic Approach to Women's Safety through Advanced Clustering and GPS Integration

K Agarwal, A Srivastava, K Sharma… - IEEE …, 2024 - ieeexplore.ieee.org
This research addresses the critical issue of women's safety in urban environments,
emphasizing the need for innovative solutions to establish secure pathways. SafeRoutes …

GNSS hızlarında kümelemeden topluluk kümelemesine: Meta-kümeleme odaklı bir yaklaşım

S Özarpacı, B Kılıç, M Köküm… - … Üniversitesi Fen Bilimleri …, 2023 - dergipark.org.tr
Kıtasal deformasyonları anlayabilmek ve yorumlayabilmek için farklı yaklaşımlar ve modeller
bulunmakta olup, bunlardan biri de blok modelleme yöntemidir. Blok modelleme yardımıyla …

Determination of the Optimal Number of Topics in the LDA Model When Working with Large Arrays of Text Data

M Baimakhanbetov - 2023 IEEE International Conference on …, 2023 - ieeexplore.ieee.org
The article presents the issues of thematic modeling. The existing approaches for
determining the optimal number of topics when working with text data are considered …

[PDF][PDF] NMF-based ensemble clustering for GNSS velocity field: tectonic insights

S Özarpacı, B Kılıç - Intercontinental Geoinformation Days, 2023 - publish.mersin.edu.tr
6th Intercontinental Geoinformation Days NMF-based ensemble clustering for GNSS velocity
field: tectonic insights Page 1 * Corresponding Author Cite this study *(ozarpaci@yildiz.edu.tr) …