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Clustering Quality Measures Based on Comparing the Proximity Matrices for the Membership Vectors and the Objects.
Roelof K. Brouwer
Published in:
Int. J. Pattern Recognit. Artif. Intell. (2008)
Keyphrases
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data points
quality measures
data objects
d objects
singular value decomposition
covariance matrices
density based clustering algorithm
clustering algorithm
face recognition
similarity measure
k means
clustering method
principal components
matrix representation
gestalt laws