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General Information
Editor-in-chief
Dr. Lin Huang
Metropolitan State University of Denver, USA
It's my honor to take on the position of editor in chief of IJMLC. We encourage authors to submit papers concerning any branch of machine learning and computing.
IJMLC 2015 Vol. 5(2): 132-136 ISSN: 2010-3700
DOI: 10.7763/IJMLC.2015.V5.496

Clustering Approach of Device Interactions for Automatic Generation of Device Social Relation

Dong-Oh Kang, Jang-Ho Choi, Joon-Young Jung, and Changseok Bae
Abstract—Recent increase of devices around us requires autonomous device interactions for convenient device collaboration. In this paper, we proposed a method to generate the device social relation without human intervention by clustering approach of device interactions. With the previously proposed device sociality framework, the proposed method can give autonomous device collaboration by using device sociality concept to minimize human intervention. To show the feasibility of the proposed method, we applied it to a group of smart devices in an office.

Index Terms—Clustering, device social relation, device collaboration, autonomous.

The authors are with the Electronics and Telecommunications Research Institute, Daejeon, Korea (e-mail: dongoh@etri.re.kr, janghochoi@etri.re.kr, jyjung21@etri.re.kr, csbae @etri.re.kr).

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Cite: Dong-Oh Kang, Jang-Ho Choi, Joon-Young Jung, and Changseok Bae, "Clustering Approach of Device Interactions for Automatic Generation of Device Social Relation," International Journal of Machine Learning and Computing vol. 5, no. 2, pp. 132-136, 2015.

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