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An approximation algorithm for finding skeletal points for density based clustering approaches.
Soheil Hassas Yeganeh
Jafar Habibi
Hassan Abolhassani
Mahdi Abbaspour Tehrani
Jamshid Esmaelnezhad
Published in:
CIDM (2009)
Keyphrases
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k means
clustering method
clustering approaches
learning algorithm
convex hull
subspace clustering
clustering algorithm
expectation maximization
data sets
machine learning
similarity measure
feature space
high dimensional
high dimensionality
hierarchical clustering