@article{article_445992, title={Implementation of Different Clustering Algorithms/Farklı Sınıflandırma Algoritmalarının Uygulamaları}, journal={AURUM Journal of Engineering Systems and Architecture}, volume={2}, pages={49–66}, year={2018}, author={Aburas, Amna Mohamed M. and Mazher, Wamidh and Uçan, Osman Nuri and Bayat, Oğuz}, keywords={Clustering,K-means,Spectral method,Laplace,Eigenvector,GUI}, abstract={<p>Abstract </p> <p>Spectral clustering is developed for both normalized and unnormalized methods. However, selecting between the </p> <p>two methods is not established in the GUI (Graphical User Interface) yet . In this paper , we implement different </p> <p>clustering algorithms using GUI-MATLAB, then, the clustering by these three methods, is compared for similar pairs </p> <p>of datasets. Our model is employing such three different clustering methods which are spectral, hierarchical </p> <p>and density based methods, then employing different geometrical, multi-range, and multi-level similar datasets </p> <p>pairs of graph for clustering. As result, the above three clustering algorithms are experimented for different environments </p> <p>which are (geometrical, multi-range and multi-level). The simulation result shows the clustering of </p> <p>these pairs of geometrical datasets which are: Concentric circles, Semi-circles, and Aggregation. Accordingly, the </p> <p>spectral algorithm has superior clustering in case of big datasets more than 2000 pairs points and range more </p> <p>than 500 levels among datasets </p>}, number={1}, publisher={Altınbaş University}