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S1 (1)
Synthetic 2-d data with N=5000 vectors and k=15 Gaussian clusters with different degree of cluster overlap P. Fränti and O. Virmajoki, "Iterative shrinking method for clustering…
0 runs0 likes0 downloads0 reach0 impact
5000 instances - 3 features - 0 classes - 0 missing values
S2 (1)
Synthetic 2-d data with N=5000 vectors and k=15 Gaussian clusters with different degree of cluster overlap P. Fränti and O. Virmajoki, "Iterative shrinking method for clustering…
0 runs0 likes0 downloads0 reach0 impact
5000 instances - 3 features - 0 classes - 0 missing values
S3 (1)
Synthetic 2-d data with N=5000 vectors and k=15 Gaussian clusters with different degree of cluster overlap P. Fränti and O. Virmajoki, "Iterative shrinking method for clustering…
0 runs0 likes0 downloads0 reach0 impact
5000 instances - 3 features - 0 classes - 0 missing values
S4 (1)
Synthetic 2-d data with N=5000 vectors and k=15 Gaussian clusters with different degree of cluster overlap P. Fränti and O. Virmajoki, "Iterative shrinking method for clustering…
0 runs0 likes0 downloads0 reach0 impact
5000 instances - 3 features - 0 classes - 0 missing values