Reliable Agglomerative Clustering
Paper in proceeding, 2021

Standard agglomerative clustering suggests establishing a new reliable linkage at every step. However, in order to provide adaptive, density-consistent and flexible solutions, we study extracting all the reliable linkages at each step, instead of the smallest one. Such a strategy can be applied with all common criteria for agglomerative hierarchical clustering. We also study that this strategy with the single linkage criterion yields a minimum spanning tree algorithm. We perform experiments on several real-world datasets to demonstrate the performance of this strategy compared to the standard alternative.


Morteza Haghir Chehreghani

Data Science and AI

Proceedings of the International Joint Conference on Neural Networks

Vol. 2021-July
9780738133669 (ISBN)

2021 International Joint Conference on Neural Networks, IJCNN 2021
Virtual, Shenzhen, China,

Subject Categories

Computer Engineering


Computer Vision and Robotics (Autonomous Systems)

Areas of Advance

Information and Communication Technology





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