Recognition Algorithm Based on Improved FCM and Rough Sets for Meibomian Gland Morphology

Recognition Algorithm Based on Improved FCM and Rough Sets for Meibomian Gland Morphology

To overcome the limitation of artificial judgment of meibomian gland morphology, we proposed a solution based on an improved fuzzy c-means (FCM) algorithm and rough sets theory. The rough sets reduced the redundant attributes while ensuring classification accuracy, and greatly reduced the amount of...

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Bibliographic Details
Main Authors: Fengmei Liang, Yajun Xu, Weixin Li, Xiaoling Ning, Xueou Liu, Ajian Liu
Format: Article
Language:English
Published: MDPI AG 2017-02-01
Series:Applied Sciences
Subjects:
meibomian gland
fuzzy c-means
rough sets
attribute reduction
pattern recognition
Online Access:http://www.mdpi.com/2076-3417/7/2/192

Internet

http://www.mdpi.com/2076-3417/7/2/192

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