Kernel k-Means Clustering Applied to Vector Space Embeddings of Graphs.

Kaspar Riesen Horst Bunke

Published in: ANNPR (2008)

Keyphrases

vector space
low dimensional
euclidean space
distance measure
latent semantic indexing
vector space model
finite dimensional
similarity search
covariance matrices
support vector
feature vectors
metric space
kernel methods
document representation
retrieval model
databases
riemannian manifolds
machine learning