This
simple data is in 2-d space, and has 2 clusters. The total number of
points is 10.
The format of the data file is
# points #dimensions
feature1 feature2 ...
If you use this data, please quote the following reference:
S. Bandyopadhyay and U. Maulik, ``An Evolutionary Technique Based on K-Means
for
Optimal Clustering in R^N'',
Information Sciences, vol. 146, pp.
221-237, 2002
U. Maulik and S. Bandyopadhyay, ``Genetic Algorithm-based Clustering
Technique"
Pattern Recognition,
vol.32,
pp. 1455-1465, 2000
S. Bandyopadhyay and S. K. Pal, ``Classification and Learning Using Genetic
Algorithms: Applications in Bioinformatics and Web Intelligence", Springer,
Heidelberg, 2007
This
data is in 2-d space, and has 3 clusters. The total number of
points is 76.
The format of the data file is
# points #dimensions #clusters
feature1 feature2 ...
If you use this data, please quote the following reference:
S. Bandyopadhyay and U. Maulik, ``Genetic Clustering for Automatic
Evolution
of Clusters and Application to Image Classification'', Pattern Recognition,
vol.35,
pp. 1197-1208, 2002
U. Maulik and S. Bandyopadhyay, ``Genetic Algorithm-based Clustering
Technique"
Pattern Recognition,
vol.32,
pp. 1455-1465, 2000
S. Bandyopadhyay and S. K. Pal, ``Classification and Learning Using Genetic
Algorithms: Applications in Bioinformatics and Web Intelligence", Springer,
Heidelberg, 2007
Data_5_2
or AD_5_2: This
data is in 2-d space, and has 5clusters. The total number of
points is 250.
The format of the data file is
# points #dimensions #clusters
feature1 feature2 ... class_number
If you use this data, please quote the following references:
S. Bandyopadhyay and U. Maulik, ``Nonparametric genetic clustering: Comparison validity indices'', IEEE Transactions on Systems, Man and Cybernetics, Part C, vol. 31, no. 1, pp. 120-125, 2001
S. Bandyopadhyay and U. Maulik, ``Genetic Clustering for Automatic
Evolution
of Clusters and Application to Image Classification'', Pattern Recognition,
vol.35,
pp. 1197-1208, 2002
S. Bandyopadhyay and S. K. Pal, ``Classification and Learning Using Genetic
Algorithms: Applications in Bioinformatics and Web Intelligence", Springer,
Heidelberg, 2007
Data_6_2: This
data is in 2-d space, and has 6clusters. The total number of
points is 300.
The format of the data file is
# points #dimensions #clusters
feature1 feature2 ... class_number
If you use this data, please quote the following reference:
S. Bandyopadhyay and U. Maulik, ``Genetic Clustering for Automatic
Evolution
of Clusters and Application to Image Classification'', Pattern Recognition,
vol.35,
pp. 1197-1208, 2002
Data_4_3 or AD_4_3: This
data is in 3-d space, and has 4clusters. The total number of
points is 400.
The format of the data file is
# points #dimensions #clusters
feature1 feature2 ... class_number
If you use this data, please quote the following references:
S. Bandyopadhyay and U. Maulik, ``Nonparametric genetic clustering: Comparison validity indices'', IEEE Transactions on Systems, Man and Cybernetics, Part C, vol. 31, no. 1, pp. 120-125, 2001
S. Bandyopadhyay and U. Maulik, ``Genetic Clustering for Automatic
Evolution
of Clusters and Application to Image Classification'', Pattern Recognition,
vol.35,
pp. 1197-1208, 2002
S. Bandyopadhyay and S. K. Pal, ``Classification and Learning Using Genetic
Algorithms: Applications in Bioinformatics and Web Intelligence", Springer,
Heidelberg, 2007
Data_10_2 or AD_10_2: This
data is in 2-d space, and has 10 clusters. The total number of
points is 500.
The format of the data file is
# points #dimensions #clusters
feature1 feature2 ...
If you use this data, please quote the following references:
S. Bandyopadhyay and U. Maulik, ``Nonparametric genetic clustering: Comparison validity indices'', IEEE Transactions on Systems, Man and Cybernetics, Part C, vol. 31, no. 1, pp. 120-125, 2001
S. Bandyopadhyay and U. Maulik, ``Genetic Clustering for Automatic
Evolution
of Clusters and Application to Image Classification'', Pattern Recognition,
vol.35,
pp. 1197-1208, 2002
S. Bandyopadhyay and S. K. Pal, ``Classification and Learning Using Genetic
Algorithms: Applications in Bioinformatics and Web Intelligence", Springer,
Heidelberg, 2007
Data_9_2:
Also sometimes referred to as st900_2_9. This data is
in 2-d space, and has 9 clusters. The total number of points is 900.
The format of the data file is
# points #dimensions #clusters
feature1 feature2 ...
If you use this data, please quote the following references:
S. Bandyopadhyay, C. A. Murthy and S. K. Pal, ``Pattern Classification Using Genetic Algorithms'', Pattern Recognition Letters, vol. 16, pp. 801-808, August 1995
S. Bandyopadhyay and S. K. Pal, ``Classification and Learning Using Genetic Algorithms: Applications in Bioinformatics and Web Intelligence", Springer, Heidelberg, 2007