Performance Evaluation of Regular Decomposition and Benchmark Clustering Methods

• المؤلفون الرئيسيون: Haryo, Laura, Pulungan, Reza
• التنسيق: Other NonPeerReviewed
• منشور في: Communications in Computer and Information Science 2022
• الموضوعات: Artificial Intelligence and Image Processing
• الوصول للمادة أونلاين: https://repository.ugm.ac.id/284263/; https://link.springer.com/chapter/10.1007/978-981-19-8069-5_12

This study compares three benchmark clustering methods—mini batch k-means, DBSCAN, and spectral clustering—with regular decomposition (RD), a new method developed for large graph data. RD is first converted so that applicable to numerical data without graph structure by changing the input into a dis...