A Supervised Clustering Algorithm Based on Representative Points and its Application to Fault Diagnosis of Diesel Engine
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.
Donald C. Wunsch II, Honghua Tan, Dehuai Zeng, Qi Luo
Y. J. Pang et al., "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