Cluster validity of the fuzzy C-means algorithm in mammographic image using adaptive cluster & partition entropy indexes / Azwani Aziz
There are many techniques of clustering the image. The most widely used of clustering technique is Fuzzy C-Means algorithm (FCM). FCM is a technique that allows one piece of data to belong to two or more clusters. The important issues in clustering the image are to determine the optimal number of th...
Saved in:
Main Author: | Aziz, Azwani |
---|---|
Format: | Thesis |
Language: | English |
Published: |
2010
|
Online Access: | https://ir.uitm.edu.my/id/eprint/64099/1/64099.PDF |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Cluster validity of Xie and Beni and the partition coefficient indexes for fuzzy c-means clustering / Nor Azrin Ahmad Mustaffa
by: Ahmad Mustaffa, Nor Azrin
Published: (2010) -
Fuzzy C mean clustering in off-line handwriting signature verfication system
by: Lee, Beng Yong
Published: (2006) -
Integrating type-2 fuzzy logic system with fuzzy C-means clustering for weather prediction
by: Soozaei, Ahmad Shahi
Published: (2011) -
Fuzzy C-means clustering algorithm with level set for MRI cerebral tissue segmentation
by: Maolood, Ismail Yaqub
Published: (2013) -
Similarity index fuzzy c-means algorithm for neural-fuzzy model reference adaptive system /
by: Hafizah Husain
Published: (2008)