Optimization of stepwise clustering algorithm in backward trajectory analysis
Sign Up to like & getrecommendations! Published in 2018 at "Neural Computing and Applications"
DOI: 10.1007/s00521-018-3782-9
Abstract: In recent years, the backward trajectory model has been widely used in the research of meteorological and atmospheric environmental quality. This paper presents a comprehensive study on a stepwise clustering analysis algorithm in the clustering… read more here.
Keywords: stepwise clustering; analysis; backward trajectory; clustering algorithm ... See more keywords
Productive service demands modularization for CNC machine tools based on the improved AP clustering algorithm
Sign Up to like & getrecommendations! Published in 2019 at "Neural Computing and Applications"
DOI: 10.1007/s00521-019-04173-1
Abstract: The integration of manufacturing and service industry has become the mainstream trend. During the manufacturing process, CNC machine tools, as large-scale and complex equipment, involve a variety of service demands in the life cycle, especially… read more here.
Keywords: productive service; clustering algorithm; service demands; service ... See more keywords
A novel self-learning weighted fuzzy local information clustering algorithm integrating local and non-local spatial information for noise image segmentation
Sign Up to like & getrecommendations! Published in 2021 at "Applied Intelligence"
DOI: 10.1007/s10489-021-02722-7
Abstract: Fuzzy clustering algorithm (FCM) can be directly used to segment images, it takes no account of the neighborhood information of the current pixel and does not have a robust segmentation noise suppression. Fuzzy Local Information… read more here.
Keywords: information; image; local information; segmentation ... See more keywords
Random Walk Quantum Clustering Algorithm Based on Space
Sign Up to like & getrecommendations! Published in 2018 at "International Journal of Theoretical Physics"
DOI: 10.1007/s10773-018-3663-0
Abstract: In the random quantum walk, which is a quantum simulation of the classical walk, data points interacted when selecting the appropriate walk strategy by taking advantage of quantum-entanglement features; thus, the results obtained when the… read more here.
Keywords: quantum walk; quantum; space; walk ... See more keywords
A stable clustering algorithm using the traffic regularity of buses in urban VANET scenarios
Sign Up to like & getrecommendations! Published in 2020 at "Wireless Networks"
DOI: 10.1007/s11276-019-02019-1
Abstract: Vehicular ad-hoc networks (VANETs) use clustering to manage data dissemination among vehicles. However, the high dynamic mobility of vehicles can lead to frequent re-clustering and decreased cluster stability. In previous work, cluster heads are selected… read more here.
Keywords: cluster; clustering algorithm; stable clustering; regularity buses ... See more keywords
Software Module Clustering Algorithm Using Probability Selection
Sign Up to like & getrecommendations! Published in 2018 at "Wuhan University Journal of Natural Sciences"
DOI: 10.1007/s11859-018-1299-9
Abstract: Software module clustering problem is an important and challenging problem in software reverse engineering whose main goal is to obtain a good modular structure of the software system. The large complex software system can be… read more here.
Keywords: software module; clustering algorithm; module clustering; algorithm using ... See more keywords
Fuzzy magnetic optimization clustering algorithm with its application to health care
Sign Up to like & getrecommendations! Published in 2018 at "Journal of Ambient Intelligence and Humanized Computing"
DOI: 10.1007/s12652-018-0941-x
Abstract: Clustering is an important tool for data mining and knowledge discovery that helps in revealing hidden structures and “clusters” found in large data sets. Fuzzy C-means (FCM) is considered to be popular data clustering method… read more here.
Keywords: optimization clustering; magnetic optimization; clustering algorithm; fuzzy moc ... See more keywords
Generalized competitive agglomeration clustering algorithm
Sign Up to like & getrecommendations! Published in 2017 at "International Journal of Machine Learning and Cybernetics"
DOI: 10.1007/s13042-016-0572-5
Abstract: In this paper, a generalized competitive agglomeration (CA) clustering algorithm called entropy index constraints competitive agglomeration (EICCA) is proposed to avoid the drawback that the fuzziness index m in the CA must be fixed to… read more here.
Keywords: competitive agglomeration; index; agglomeration; generalized competitive ... See more keywords
Multiple Sclerosis lesions detection by a hybrid Watershed-Clustering algorithm.
Sign Up to like & getrecommendations! Published in 2020 at "Clinical imaging"
DOI: 10.1016/j.clinimag.2020.11.006
Abstract: BACKGROUND Computer Aided Diagnosis (CAD) systems have been developing in the last years with the aim of helping the diagnosis and monitoring of several diseases. We present a novel CAD system based on a hybrid… read more here.
Keywords: sclerosis; watershed clustering; cad; clustering algorithm ... See more keywords
Development of Clustering Algorithm Applied for the EELS Analysis of Advanced Devices
Sign Up to like & getrecommendations! Published in 2020 at "Microscopy and Microanalysis"
DOI: 10.1017/s1431927620020486
Abstract: With the coming of the third age of artificial intelligence, machine learning has been successfully implemented in many fields, which changed the paradigms to feed tons of data to find the pattern that with similar… read more here.
Keywords: microscopy; development clustering; clustering algorithm; eels analysis ... See more keywords
Multiscale Simulation of Protein Hydration Using the SWINGER Dynamical Clustering Algorithm.
Sign Up to like & getrecommendations! Published in 2018 at "Journal of chemical theory and computation"
DOI: 10.1021/acs.jctc.7b01129
Abstract: To perform computationally efficient concurrent multiscale simulations of biological macromolecules in solution, where the all-atom (AT) models are coupled to supramolecular coarse-grained (SCG) solvent models, previous studies resorted to modified AT water models, such as… read more here.
Keywords: protein; water; clustering algorithm; multiscale simulation ... See more keywords