Approach to Data Clustering Based on Molecular Chemical Reactions With Various Distance Measures
Table 3: Accuracy of data clustering with various measure of distance
Dataset |
k-means |
KCR |
EuD |
SEuD |
ManD |
EuD |
SEuD |
ManD |
Synthetic dataset |
0.771 |
0.772 |
0.792 |
0.772 |
0.772 |
0.793 |
Two-batch mixed lot |
0.754 |
0.754 |
0.763 |
0.75 |
0.75 |
0.759 |
Three-batch mixed lot |
0.695 |
0.695 |
0.701 |
0.698 |
0.698 |
0.704 |
Four-batch mixed lot |
0.676 |
0.609 |
0.687 |
0.678 |
0.678 |
0.690 |
Full mixed lot |
0.493 |
0.493 |
0.515 |
0.509 |
0.509 |
0.515 |
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