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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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35
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46
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48
49
50
#Clusters:
2
3
4
5
6
7
8
Genomics
This is to compare
fzDBI
with popular algorithms: PDS, OCS, NPS, FCMimpute, CIAO, FCMGOimpute.
Select the number of trials using the data with missing values under "#Trials;
Set the data dimensions 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, Density-based imputation method for fuzzy cluster analysis of gene expression microarray data, Proc. Intl' Conf. on Bioinformatics and Computational Biology, pp. 190-195.
Designed & Developed by
Thanh Le
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