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Topoclimatic Zoning and Representative Areas as Determined by an AutomaticWeather Station (AWS) Network in the Atacama Region, Chile
(MDPI, 2020)
Climate information is crucial to the management and profitability of key development
sectors involving agriculture, hydrologic resources, natural hazards, and energy. Climate knowledge,
real-time weather information, ...
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 ...
Evolutionary fuzzy clustering of relational data
(ELSEVIER SCIENCE BV, 2011)
This paper is concerned with the computational efficiency of fuzzy clustering algorithms when the data set to be clustered is described by a proximity matrix only (relational data) and the number of clusters must be ...
AUTOMATIC SUBCORTICAL TISSUE SEGMENTATION OF MR IMAGES USING OPTIMUM-PATH FOREST CLUSTERING
(Ieee, 2011-01-01)
Automatic MR-image segmentation of brain tissues is an important issue in neuroimaging. For instance, it is a key methodological component of a popular technique denominated voxel-based morphometry (VBM), which quantifies ...
Interpretable interval type-2 fuzzy predicates for data clustering: A new automatic generation method based on self-organizing maps
(Elsevier Science, 2017-10)
In previous works, we proposed two methods for data clustering based on automatically discovered fuzzy predicates which were referred to as SOM-based Fuzzy Predicate Clustering (SFPC) [Meschino et al., Neurocomputing, 147, ...
Fuzzy C-Means Clustering with Histogram based Cluster Selection for Skin Lesion Segmentation using Non-Dermoscopic Images
Purpose – Pre-screening of skin lesion for malignancy is highly demanded as melanoma being a life-threatening skin cancer due to unpaired DNA damage. In this paper, lesion segmentation based on Fuzzy C-Means clustering ...