Practical SAHN Clustering for Very Large Data Sets and Expensive Distance Metrics.

Nils M. Kriege Petra Mutzel Till Schäfer

Published in: J. Graph Algorithms Appl. (2014)

Keyphrases

distance metric
data points
distance metric learning
euclidean distance
metric learning
distance function
distance measure
clustering algorithm
k means
clustering method
pairwise constraints
nearest neighbor classification
data sets
feature space
supervised learning
knn classification