DocumentCode :
245369
Title :
New FCM´s Validity Index for Sorting Radar Signal
Author :
Ahmed, Mohaned Giess Shokrallah ; Bin Tang
Author_Institution :
Sch. of Electron. Eng., Univ. of Electron. Sci. & Technol., Chengdu, China
fYear :
2014
fDate :
19-21 Dec. 2014
Firstpage :
127
Lastpage :
131
Abstract :
Fuzzy C-Means (FCM) is an unsupervised clustering algorithm, which requires a foreknowledge of the number of clusters. In this paper, we have proposed a new validity index with a high speed calculation and good preventive measures against noisy environment, which is necessary for real time sorting signals. The proposed validity index does not make use of the cluster´s centers to measure the compactness and separation indexes, it only uses the memberships´ value. Simulation results show and certify the efficiency of the proposed validity index and compares it with other validity indexes.
Keywords :
fuzzy set theory; radar signal processing; fuzzy c-means; radar signal sorting; unsupervised clustering algorithm; validity index; Clustering algorithms; Educational institutions; Indexes; Noise measurement; Radar; Radio frequency; Sorting; FCM; Sorting radar signal; number of clusters; validity index;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computational Science and Engineering (CSE), 2014 IEEE 17th International Conference on
Conference_Location :
Chengdu
Print_ISBN :
978-1-4799-7980-6
Type :
conf
DOI :
10.1109/CSE.2014.55
Filename :
7023566
Link To Document :
بازگشت