Application of Hard C-Means and Fuzzy C-Means in Data Fusion

Autor:	Lian Cai, You Mei Zhang, Ai Hong Tang
Rok vydání:	2012
Předmět:	Fuzzy clustering Fuzzy classification Canopy clustering algorithm Fuzzy set operations General Medicine Data mining Sensor fusion computer.software_genre Partition (database) Fuzzy logic computer Mathematics
Zdroj:	Applied Mechanics and Materials. :265-268
ISSN:	1662-7482
Popis:	This article describes two kinds of Fuzzy clustering algorithm based on partition,Fuzzy C-means algorithm is on the basis of the hard C-means algorithm, and get a big improvement, making large data similarity as far as possible together. As a result of Simulation, FCM algorithm has more reasonable than HCM method on convergence, data fusion, and so on.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::ef5dda6af8447792b18c1d7d6193eff5 https://doi.org/10.4028/www.scientific.net/amm.190-191.265 Zobrazit plný text záznamu