208 citations · 643 across the 71 of their papers we have counts for
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cs.LG2018
MaxMin Linear Initialization for Fuzzy C-Means
Aybükë Oztürk, Stéphane Lallich, Jérôme Darmont +1
Clustering is an extensive research area in data science. The aim of clustering is to discover groups and to identify interesting patterns in datasets. Crisp (hard) clustering cons…
cs.LG2018★ 10 cited
A Visual Quality Index for Fuzzy C-Means
Aybükë Oztürk, Stéphane Lallich, Jérôme Darmont
Cluster analysis is widely used in the areas of machine learning and data mining. Fuzzy clustering is a particular method that considers that a data point can belong to more than o…