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Published in 2018 at "Engineering Geology"
DOI: 10.1016/j.enggeo.2017.11.015
Abstract: Abstract Mining seismicity is routinely observed to cluster in space and time due to the spatially distinct rock mass failure processes associated with the temporally dependent process of mining. Assessment of clustered seismicity is important…
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Keywords:
methodology;
clustering method;
seismicity;
internal performance ... See more keywords
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Published in 2021 at "Heliyon"
DOI: 10.1016/j.heliyon.2021.e07017
Abstract: Geochemical fingerprinting is a rapidly expanding discipline in the earth and environmental sciences, anchored in the recognition that geological processes leave behind physical, chemical and sometimes also isotopic patterns in the samples. Furthermore, the geochemical…
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Keywords:
clustering method;
devising geochemical;
method devising;
geochemical fingerprinting ... See more keywords
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Published in 2018 at "Neurocomputing"
DOI: 10.1016/j.neucom.2017.02.100
Abstract: Abstract Though many successful methods have been proposed for supervised learning tasks, such as support vector machines and extreme learning machines (ELM), it is still an open problem to extend the successful supervised learning methods…
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Keywords:
clustering method;
method based;
extreme learning;
learning machine ... See more keywords
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Published in 2020 at "Neurocomputing"
DOI: 10.1016/j.neucom.2020.02.119
Abstract: Abstract Clustering is an important unsupervised learning method in machine learning and data mining. Many existing clustering methods may still face the challenge in self-identifying clusters with varying shapes, sizes and densities. To devise a…
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Keywords:
clustering method;
anchor points;
method;
intermediate clusters ... See more keywords
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Published in 2025 at "Scientific Reports"
DOI: 10.1038/s41598-025-91812-4
Abstract: Traditional spectral clustering algorithms are sensitive to the similarity matrix, which impacts their performance. To address this, a local adaptive fuzzy spectral clustering (FSC) method is introduced, incorporating a fuzzy index to reduce this sensitivity.…
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Keywords:
fuzzy spectral;
clustering method;
spectral clustering;
adaptive fuzzy ... See more keywords
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Published in 2025 at "Geocarto International"
DOI: 10.1080/10106049.2025.2471091
Abstract: Abstract Clustering is an unsupervised learning method; however, it cannot be directly applied to complex building features to reveal the deep-level intrinsic relationships between buildings and assimilate the cartographic experience of experts. Additionally, defining the…
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Keywords:
method;
integrates graph;
method integrates;
clustering method ... See more keywords
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Published in 2019 at "Bioinformatics"
DOI: 10.1093/bioinformatics/btz052
Abstract: Motivation Unbiased clustering methods are needed to analyze growing numbers of complex data sets. Currently available clustering methods often depend on parameters that are set by the user, they lack stability, and are not applicable…
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Keywords:
clustering method;
analysis;
topology based;
topology ... See more keywords
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Published in 2018 at "Monthly Notices of the Royal Astronomical Society"
DOI: 10.1093/mnras/sty1504
Abstract: The point spread function (PSF) plays a very important part in image post-processing and high-precion astrometry and photometry. It is necessary to analyse the properties of the PSF before we use it to process data.…
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Keywords:
clustering method;
spread function;
point spread;
method ... See more keywords
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Published in 2019 at "IEEE Access"
DOI: 10.1109/access.2019.2912332
Abstract: The density peaks clustering (DPC) is a clustering method proposed by Rodriguez and Laio (Science, 2014), which sets up a decision graph to identify the cluster centers of data points. Because the improper selection of…
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Keywords:
tex math;
inline formula;
clustering method;
density ... See more keywords
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Published in 2025 at "IEEE Transactions on Geoscience and Remote Sensing"
DOI: 10.1109/tgrs.2025.3560279
Abstract: Low-field nuclear magnetic resonance (LF-NMR) technology provides robust technical support for geophysical applications, including reservoir exploration and oil logging analysis. The inversion spectra of LF-NMR signals, particularly in 2-D form, reveal crucial geological information such…
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Keywords:
field;
estimation;
clustering method;
fluid ... See more keywords
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Published in 2022 at "IEEE Transactions on Instrumentation and Measurement"
DOI: 10.1109/tim.2022.3151933
Abstract: In the process of mechanical equipment fault diagnosis, it is difficult to obtain enough labeled samples due to the changeable operating conditions, complex working environment, and the limitation of measuring equipment. Therefore, a prototype clustering…
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Keywords:
prototype clustering;
equipment;
fault;
clustering method ... See more keywords