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Discovering knowledge from data clustering using automatically defined interval type-2 fuzzy predicates
(Pergamon-Elsevier Science Ltd., 2017-02)
In data clustering fuzzy predicates act as cluster descriptors providing linguistically expressed knowledge which indicates how features are related to each cluster. Fuzzy predicates directly and automatically obtained ...
Automatic design of interpretable fuzzy predicate systems for clustering using self-organizing maps
(Elsevier Science, 2015-01)
In the area of pattern recognition, clustering algorithms are a family of unsupervised classifiers designed with the aim to discover unrevealed structures in the data. While this is a never ending research topic, many ...
Characterisation of compact stellar systems in the Coma cluster of galaxies
(2021)
We present the Coma Cluster Core PrOject (C3PO), a deep, high resolution and contiguous mosaic survey of the inner ⇡ 150 square
arcminutes of the core of the Coma Cluster. The region was tiled
by 21 HST/WFC3 pointings ...