Research on the Device Risk Value for Power Transmission Network based on k-means

DOI

10.2991/lemcs-15.2015.295How to use a DOI?

Keywords

Power communication transmission network; Power device risk value; K-means; Huffman tree; Cosine similarity

Abstract

To evaluate the risk system of power communication transmission network (PCTN) scientifically, this paper puts forward an improved k-means clustering algorithm in allusion to the issue of the power device risk value in the PCNT. Both the rating of the device status and the importance of the device determine the power device risk value, among which the importance of device is decided by the number and type of tasks it bears. Since generated randomly, traditional initial clustering centers is easy to lead the result to a partial best instead of global. Therefore, this text uses an improved Huffman tree method based on adjusted cosine similarity to make sure the initial centre. It is verified that the improved k-means clustering algorithm can do better in clustering data, dividing the risk rank scientifically, which provides a reference frame for risk evaluation.

Copyright

© 2015, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - CONF
AU  - Xiaorong Cheng
AU  - Zijun Li
AU  - Yun Miao
PY  - 2015/07
DA  - 2015/07
TI  - Research on the Device Risk Value for Power Transmission Network based on k-means
BT  - Proceedings of the International Conference on Logistics, Engineering, Management and Computer Science
PB  - Atlantis Press
SP  - 1485
EP  - 1488
SN  - 1951-6851
UR  - https://doi.org/10.2991/lemcs-15.2015.295
DO  - 10.2991/lemcs-15.2015.295
ID  - Cheng2015/07
ER  -