Table 2 Distributed clustering
From: From distributed machine to distributed deep learning: a comprehensive survey
Algorithm | Articles | Year | No. of references | Simulation/ Dataset | Evaluation metrics |
|---|---|---|---|---|---|
Consensus-based algorithm | [53] | 2016 | 35 | • Wireless sensor networks (WSNs) | • Within-cluster sum of squares (WCSS) • Iteration time |
[54] | 2011 | 15 | • Two data sites | • Xie-Beni (XB) fuzzy clustering validity index | |
Distributed k-means | [59] | 2021 | 25 | • MRI image segmentation | • Number of iterations |
[61] | 2016 | 39 | • YearPredictionMSD | • Communication costs | |
[57] | 2013 | 33 | • Mammal’s Milk • River dataset • Water treatment dataset | • Communication Overhead • Computation Overhead | |
[58] | 2013 | 42 | • Wireless sensor networks | • Time complexity • Memory complexity | |
[60] | 2008 | 38 | • P2P network | • Accuracy • Scalability • Communication |