Robust Distributed Clustering Algorithm Over Multitask Networks

Robust Distributed Clustering Algorithm Over Multitask Networks

We propose a new adaptive clustering algorithm that is robust to various multitask environments. Positional relationships among optimal vectors and a reference signal are determined by using the mean-square deviation relation derived from a one-step least-mean-square update. Clustering is performed...

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Bibliographic Details
Main Authors: Jun-Taek Kong, Do-Chang Ahn, Seong-Eun Kim, Woo-Jin Song
Format: Article
Language:English
Published: IEEE 2018-01-01
Series:IEEE Access
Subjects:
Decentralized clustering
multitask learning
adaptive networks
distributed estimation
diffusion adaptation
Online Access:https://ieeexplore.ieee.org/document/8429927/

Internet

https://ieeexplore.ieee.org/document/8429927/

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