Effective FCM noise clustering algorithms in medical images

Abstract The main motivation of this paper is to introduce a class of robust non-Euclidean distance measures for the original data space to derive new objective function and thus clustering the non-Euclidean structures in data to enhance the robustness of the original clustering algorithms to reduce...

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Bibliographic Details
Published in:	Computers in biology and medicine Vol. 43; no. 2; pp. 73 - 83
Main Authors:	Kannan, S.R, Devi, R, Ramathilagam, S, Takezawa, K
Format:	Journal Article
Language:	English
Published:	United States Elsevier Ltd 01.02.2013 Elsevier Limited
Subjects:	Accuracy Algorithms Brain - anatomy & histology Brain - pathology Breast - anatomy & histology Breast - pathology Cluster Analysis Databases, Factual Entropy Entropy FCM Female Fuzzy Logic Fuzzy sets Humans Image Processing, Computer-Assisted - methods Internal Medicine Magnetic Resonance Imaging - methods Medical images Medical imaging Methods motivation Noise Noise clustering Other Product development prototypes Segmentation Studies Tomography Noise clustering Medical images Segmentation Entropy FCM
ISSN:	0010-4825, 1879-0534, 1879-0534
Online Access:	Get full text
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