New answers tagged k-means
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Accepted
Using k-means to create labels for supervised learning
I'd suggest an alternative approach: train a regression model for each of the two networks A and B, which takes the conditions as input features and predicts the performance of the network under these ...
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I need help with which features to use for clustering
PCA is interesting but hard to interpret because it is a linear algorithm.
Consequently, the result using many features will be probably not OK, overall if you have non-linear correlations or complex ...
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Cluster evolution over time
May be what you were looking for is the Rand index ?
This "is a measure of the similarity between two data clusterings", in other words, if the RI is close to 1 (after repeated clustering ...
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