A spatially focused clustering methodology for mining seismicity
Sign Up to like & getrecommendations! 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… read more here.
Keywords: methodology; clustering method; seismicity; internal performance ... See more keywords
An intelligent clustering method for devising the geochemical fingerprint of underground aquifers
Sign Up to like & getrecommendations! 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… read more here.
Keywords: clustering method; devising geochemical; method devising; geochemical fingerprinting ... See more keywords
A clustering method based on extreme learning machine
Sign Up to like & getrecommendations! 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… read more here.
Keywords: clustering method; method based; extreme learning; learning machine ... See more keywords
A systematic density-based clustering method using anchor points
Sign Up to like & getrecommendations! 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… read more here.
Keywords: clustering method; anchor points; method; intermediate clusters ... See more keywords
Two-Tier Mapper, an unbiased topology-based clustering method for enhanced global gene expression analysis
Sign Up to like & getrecommendations! 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… read more here.
Keywords: clustering method; analysis; topology based; topology ... See more keywords
Automated clustering method for point spread function classification.
Sign Up to like & getrecommendations! 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.… read more here.
Keywords: clustering method; spread function; point spread; method ... See more keywords
Efficient Clustering Method Based on Density Peaks With Symmetric Neighborhood Relationship
Sign Up to like & getrecommendations! 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… read more here.
Keywords: tex math; inline formula; clustering method; density ... See more keywords
Depth Prototype Clustering Method Based on Unsupervised Field Alignment for Bearing Fault Identification of Mechanical Equipment
Sign Up to like & getrecommendations! 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… read more here.
Keywords: prototype clustering; equipment; fault; clustering method ... See more keywords
EdClust: A heuristic sequence clustering method with higher sensitivity.
Sign Up to like & getrecommendations! Published in 2021 at "Journal of bioinformatics and computational biology"
DOI: 10.1142/s0219720021500360
Abstract: The development of high-throughput technologies has produced increasing amounts of sequence data and an increasing need for efficient clustering algorithms that can process massive volumes of sequencing data for downstream analysis. Heuristic clustering methods are… read more here.
Keywords: clustering method; sequence clustering; sequence; sensitivity ... See more keywords
Hybrid Fuzzy Clustering Method Based on FCM and Enhanced Logarithmical PSO (ELPSO)
Sign Up to like & getrecommendations! Published in 2020 at "Computational Intelligence and Neuroscience"
DOI: 10.1155/2020/1386839
Abstract: Fuzzy c-means (FCM) is one of the best-known clustering methods to organize the wide variety of datasets automatically and acquire accurate classification, but it has a tendency to fall into local minima. For overcoming these… read more here.
Keywords: fuzzy clustering; clustering method; method based; pso ... See more keywords
A Novel Convex Clustering Method for High-Dimensional Data Using Semiproximal ADMM
Sign Up to like & getrecommendations! Published in 2020 at "Mathematical Problems in Engineering"
DOI: 10.1155/2020/9216351
Abstract: Clustering is an important ingredient of unsupervised learning; classical clustering methods include K-means clustering and hierarchical clustering. These methods may suffer from instability because of their tendency prone to sink into the local optimal solutions… read more here.
Keywords: high dimensional; clustering method; method high; dimensional data ... See more keywords