New answers tagged

2 votes
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 ...
user avatar
  • 21.8k
2 votes

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 ...
user avatar
0 votes

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 ...
user avatar

Top 50 recent answers are included