ssets: S-sets
In elbamos/clusteringdatasets: Datasets useful for testing clustering algorithms
Description
Usage
Format
Source
References
Description
Synthetic 2-d data with N=5000 vectors and M=15 Gaussian clusters with different degree of cluster overlapping. Centroids are found in the data object centroids.
Usage
1
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9
Format
Data frame of x, y coordinates and labels
Source
http://cs.joensuu.fi/sipu/datasets/
References
P. Fränti and O. Virmajoki, "Iterative shrinking method for clustering problems", Pattern Recognition, 39 (5), 761-765, May 2006.
elbamos/clusteringdatasets documentation built on May 16, 2019, 2:58 a.m.
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Description Usage Format Source References
Description
Synthetic 2-d data with N=5000 vectors and M=15 Gaussian clusters with different degree of cluster overlapping. Centroids are found in the data object centroids.
Usage
1 2 3 4 5 6 7 8 9 |
Format
Data frame of x, y coordinates and labels
Source
http://cs.joensuu.fi/sipu/datasets/
References
P. Fränti and O. Virmajoki, "Iterative shrinking method for clustering problems", Pattern Recognition, 39 (5), 761-765, May 2006.
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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