Paper Title:
A Supervised Clustering Algorithm Based on Representative Points and its Application to Fault Diagnosis of Diesel Engine
  Abstract

By terms of extracting quantization values of each index making contributions to classification, this paper defines index classification weight; and also defines class representative points, weighted distance between samples and representative points; provides an iterative algorithm of searching class representative points, establishes a supervised clustering method based on representative points and it is apply into Fault diagnosis of Diesel Engine.

  Info
Periodical
Advanced Materials Research (Volumes 121-122)
Edited by
Donald C. Wunsch II, Honghua Tan, Dehuai Zeng, Qi Luo
Pages
958-963
DOI
10.4028/www.scientific.net/AMR.121-122.958
Citation
Y. J. Pang, W. Pan, K. D. Liu, "A Supervised Clustering Algorithm Based on Representative Points and its Application to Fault Diagnosis of Diesel Engine", Advanced Materials Research, Vols. 121-122, pp. 958-963, 2010
Online since
June 2010
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Price
$32.00
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