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About CBA Project
Word Cluster Analysis
Algorithms
Weblogo
Motif finding
fzGASCE clustering
fz Subtractive
fzSub clustering
fzPBD defuzzy
fzBLE validation
fzDBI imputation
fzPBI imputation
fzCBI imputation
Huffman coding
Sentiment analysis
Min vertex cover
#Dim
2
3
4
5
#Trials
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
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48
49
50
#Clusters
2
3
4
5
6
7
8
Cor. distance
This is to compare
fzPBD
with popular defuzzification methods: MMD, NBM, GRG and sFCM.
Select the number of times trying the input data under "#Trials;
Set the data dimension and #clusters under "#Dim" and "#Clusters" respectively;
Enter the data under "Data", or select "Data" command to generate simulated dataset;
Select "Run" command to run the benchmark. Results will be reported on this webpage.
Please cite us
Thanh Le, Tom Altman and Katheleen Gardiner, 2012, A Probability Based Defuzzification Method for Fuzzy Cluster Partition, Proc. Intl' Conf. on Artificial Intelligence, Vol. 2, pp. 1038-1043.
Designed & Developed by
Thanh Le
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