python - Scipy hierarchial clustering - clusterize new vector -


i clusterizing bunch of feature vectors using scipy linkage ward method.

i want predictive model works in 2 steps:

  1. training data clusterized
  2. a new vector comes, distance between vector , each cluster computed, new vector assigned "nearest" cluster's label

how can compute distances between new vector , precomputed clusters?

use euclidean metric? think precomputed clusters have center. can calculate distanc between every center , new vector.


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