Krahasoni metodat

	DBSCAN	Rrjeti me Vëmendje Grafike
Fusha	Mësimi i makinës	Mësimi i thellë
Familja	Machine learning	Machine learning
Viti i origjinës	1996	2018
Krijuesi	Ester, M., Kriegel, H.-P., Sander, J. & Xu, X.	Veličković, P. et al.
Lloji	Density-based clustering algorithm	Graph neural network (attention-based)
Burimi themelues	Ester, M., Kriegel, H.-P., Sander, J. & Xu, X. (1996). A Density-Based Algorithm for Discovering Clusters in Large Spatial Databases with Noise. Proceedings of the 2nd KDD, 226–231.	Veličković, P. et al. (2018). Graph Attention Networks. ICLR.
Emërtime të tjera	DBSCAN Kümeleme, density-based clustering, density-based spatial clustering	Graf Dikkat Ağı (GAT), GAT, graph attention network, attention-based graph neural network
Të lidhura	3	4
Përmbledhja	DBSCAN is a density-based clustering algorithm, introduced by Ester, Kriegel, Sander and Xu in 1996, that groups together points lying in dense regions and flags points in sparse regions as noise. It is effective on noisy data and on clusters of irregular, non-spherical shapes.	The Graph Attention Network (GAT), introduced by Veličković and colleagues in 2018, is a graph neural network variant that learns how much importance to assign to each neighbouring node through a self-attention mechanism. On heterogeneous neighbourhoods and relational classification it produces results superior to graph convolutional networks (GCN).