A unified approach for cluster-wise and general noise rejection approaches for k-means clustering.

Published in: PeerJ Comput. Sci. (2019)

Keyphrases

clustering algorithm
special case
pairwise
cluster analysis
real time
strengths and weaknesses
feature selection
arbitrary shape
median filter
noise level
image structure
noise reduction
missing data
k means
bayesian networks
social networks
search engine
artificial intelligence