Title :
Building Knowledge Map for Product Development Based on GAKME Method
Author :
Zhangang, Hao ; Jianhua, Yang
Author_Institution :
Shandong Inst. of Bus. & Technol., Yantai, China
Abstract :
This paper presents a new clustering algorithm based on the combination of GA(Genetic Algorithm) and k-medoids algorithm . The new algorithm can not only improve the precision of clustering but also recognize isolated points. At the same time, the new algorithm may expedite the convergence of GA and save the time cost because of introducing the k-medoids algorithm in GA. Based on this, we build knowledge map for product development using GAKME method.
Keywords :
genetic algorithms; knowledge engineering; pattern clustering; product development; GAKME method; clustering algorithm; genetic algorithm; k-medoids algorithm; knowledge map; product development; Clustering algorithms; Costs; Data mining; Educational technology; Genetic algorithms; Iterative algorithms; Optimization methods; Paper technology; Partitioning algorithms; Product development; clustering; genetic algorithm; k-medoids algorithm; knowledge map;
Conference_Titel :
Education Technology and Computer Science (ETCS), 2010 Second International Workshop on
Conference_Location :
Wuhan
Print_ISBN :
978-1-4244-6388-6
Electronic_ISBN :
978-1-4244-6389-3
DOI :
10.1109/ETCS.2010.567
