چکیده مقاله
This paper demonstrates a correlation between two bunching calculations that utilization dissimilarity measures to help the grouping undertaking Both calculations take a N dimensional information set and uses focused neural systems to separate them into isotropic groups Those bunches are then gathered taking into account a uniqueness measure In this paper we look at that methodology utilizing two distinctive uniqueness measures, the Mahalanobis separation and the Kullback Leibler dissimilarity The paper demonstrates some consequences of bunching on both calculations and make a couple remarks about the decision of the free parameters in both circumstances
کلیدواژهها
نویسندگان
Asghar Akbari Moein
Computer engineering student, Department of Computer, Sanandaj Branch, Islamic Azad University, Sanandaj, Iran
Adel Fatemi
Department of Statistics, Sanandaj Branch, Islamic Azad University, Sanandaj, Iran
شیوه ارجاع
Akbari Moein, Asghar and Fatemi, Adel,1395,Contrast among clustering algorithms with deviation Kullback-Leibler indexing to clustering assignment,3rd National Congress of Electrical and Computer Engineering of Iran,Tehran
ارائهشده در
مجموعه مقالات سومین کنفرانس سراسری نوآوری های اخیر در مهندسی برق و کامپیوتر19 شهریور 1395 · تهران