Kernel intuitionistic fuzzy entropy clustering for MRI image segmentation
Sign Up to like & getrecommendations! Published in 2020 at "Soft Computing"
DOI: 10.1007/s00500-019-04169-y
Abstract: Fuzzy entropy clustering (FEC) is a variant of hard c-means clustering which utilizes the concept of entropy. However, the performance of the FEC method is sensitive to the noise and the fuzzy entropy parameter as… read more here.
Keywords: entropy clustering; kernel intuitionistic; intuitionistic fuzzy; fuzzy entropy ... See more keywords
Online updating of active function cross-entropy clustering
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DOI: 10.1007/s10044-018-0701-8
Abstract: AbstractGaussian mixture models have many applications in density estimation and data clustering. However, the model does not adapt well to curved and strongly nonlinear data, since many Gaussian components are typically needed to appropriately fit… read more here.
Keywords: active function; function cross; entropy clustering; function ... See more keywords
A novel hybrid entropy-clustering approach for optimal placement of pressure sensors for leakage detection in water distribution systems under uncertainty
Sign Up to like & getrecommendations! Published in 2020 at "Urban Water Journal"
DOI: 10.1080/1573062x.2020.1758162
Abstract: ABSTRACT This study presents a novel hybrid entropy-clustering framework for placing pressure sensors in water distribution systems (WDS) to detect leakage. Leakages are simulated at all potential nodes of WDS, and then potential pressure sensors… read more here.
Keywords: entropy clustering; water; novel hybrid; hybrid entropy ... See more keywords
Eczema compound patents’ herbal combination rules research based on complex system entropy clustering: A review
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DOI: 10.1097/md.0000000000032005
Abstract: The aim of this study is to investigate the herbal compound patents’ combination rules of eczema. Eczema herbal compound patents (oral drugs) from the past 29 years were collected, and a database was created. Complex… read more here.
Keywords: compound; compound patents; system entropy; complex system ... See more keywords
Multi-View Maximum Entropy Clustering by Jointly Leveraging Inter-View Collaborations and Intra-View-Weighted Attributes
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DOI: 10.1109/access.2018.2825352
Abstract: As a dedicated countermeasure for heterogeneous multi-view data, multi-view clustering is currently a hot topic in machine learning. However, many existing methods either neglect the effective collaborations among views during clustering or do not distinguish… read more here.
Keywords: entropy clustering; maximum entropy; view; multi view ... See more keywords
A Novel Synthetic CT Generation Method Using Multitask Maximum Entropy Clustering
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DOI: 10.1109/access.2019.2937124
Abstract: Due to the risk of radiation from computed tomography (CT) scanning on the human body, the number of CT scans that can be performed on an individual each year is limited. However, CT images play… read more here.
Keywords: entropy clustering; mec algorithm; image; multitask maximum ... See more keywords