Technical Note: Using k‐means clustering to determine the number and position of isocenters in MLC‐based multiple target intracranial radiosurgery
Sign Up to like & getrecommendations! Published in 2017 at "Journal of Applied Clinical Medical Physics"
DOI: 10.1002/acm2.12139
Abstract: Abstract Purpose To present the k‐means clustering algorithm as a tool to address treatment planning considerations characteristic of stereotactic radiosurgery using a single isocenter for multiple targets. Methods For 30 patients treated with stereotactic radiosurgery… read more here.
Keywords: means clustering; position; treatment; target ... See more keywords
Improved fuzzy C-means clustering in the process of exudates detection using mathematical morphology
Sign Up to like & getrecommendations! Published in 2018 at "Soft Computing"
DOI: 10.1007/s00500-017-2532-8
Abstract: Exudates are a common complication of diabetic retinopathy and the leading cause of blindness in the developing countries, especially in Thailand. The digital retinal images are usually interpreted visually by an expert ophthalmologist in order… read more here.
Keywords: means clustering; exudates detection; process exudates; mathematical morphology ... See more keywords
Improving file locality in multi-keyword top-k search based on clustering
Sign Up to like & getrecommendations! Published in 2018 at "Soft Computing"
DOI: 10.1007/s00500-018-3145-6
Abstract: Nowadays, fast growing number of users and business are motivated to outsource their private data to public cloud servers. Taking into consideration security issues, private data should be encrypted before being outsourced to remote servers,… read more here.
Keywords: keyword; search; means clustering; file locality ... See more keywords
Enhanced block-based copy-move forgery detection using k-means clustering
Sign Up to like & getrecommendations! Published in 2019 at "Multidimensional Systems and Signal Processing"
DOI: 10.1007/s11045-018-0624-y
Abstract: The goal of copy-move forgery is to manipulate the semantics of an image. In fact, this can be performed by cloning a region of an image and subsequently pasting it onto a different region within… read more here.
Keywords: move forgery; means clustering; copy move;
Identifying the presence of bacteria on digital images by using asymmetric distribution with k-means clustering algorithm
Sign Up to like & getrecommendations! Published in 2021 at "Multidimensional Systems and Signal Processing"
DOI: 10.1007/s11045-021-00800-0
Abstract: This paper is mainly aimed at the decomposition of image quality assessment study by using Three Parameter Logistic Mixture Model and k-means clustering (TPLMM-k). This method is mainly used for the analysis of various images… read more here.
Keywords: means clustering; digital images; model; identifying presence ... See more keywords
Product recommendation for e-commerce business by applying principal component analysis (PCA) and K-means clustering: benefit for the society
Sign Up to like & getrecommendations! Published in 2020 at "Innovations in Systems and Software Engineering"
DOI: 10.1007/s11334-020-00372-5
Abstract: Recommender system is a computer-based intelligent technique which facilitates the customers to fulfill their purchase requirements. In addition to this, it also helps retailers to manage the supply chain of their business and to develop… read more here.
Keywords: means clustering; commerce business; product; business ... See more keywords
Flow visualization and analysis of thermal distribution for the nanofluid by the integration of fuzzy c-means clustering ANFIS structure and CFD methods
Sign Up to like & getrecommendations! Published in 2020 at "Journal of Visualization"
DOI: 10.1007/s12650-019-00614-0
Abstract: Abstract A nanofluid containing copper (Cu) nanoparticles was simulated in a rectangular cavity using computational fluid dynamic (CFD). The upper and lower walls of the cavity were adiabatic, while the right and left walls had… read more here.
Keywords: means clustering; anfis method; cfd; fuzzy means ... See more keywords
Gaussian Collaborative Fuzzy C-Means Clustering
Sign Up to like & getrecommendations! Published in 2021 at "International Journal of Fuzzy Systems"
DOI: 10.1007/s40815-021-01090-1
Abstract: For most FCM-based fuzzy clustering algorithms, several problems, such as noise, non-spherical clusters, and size-imbalanced clusters, are difficult to solve. Different fuzzy clustering algorithms are developed to deal with these problems from different perspectives. However,… read more here.
Keywords: gaussian collaborative; fuzzy clustering; collaborative fuzzy; fuzzy ... See more keywords
Discovering relationships and forecasting PM10 and PM2.5 concentrations in Bogotá, Colombia, using Artificial Neural Networks, Principal Component Analysis, and k-means clustering
Sign Up to like & getrecommendations! Published in 2018 at "Atmospheric Pollution Research"
DOI: 10.1016/j.apr.2018.02.006
Abstract: Abstract Air pollution is an important matter for local authorities in Bogota (Colombia), with PM10 and PM2.5 being the most serious air pollutants in the city. In the present study, data mining algorithms were used… read more here.
Keywords: pm2; pm10 pm2; pollution; means clustering ... See more keywords
Helicopter maritime search area planning based on a minimum bounding rectangle and K-means clustering
Sign Up to like & getrecommendations! Published in 2020 at "Chinese Journal of Aeronautics"
DOI: 10.1016/j.cja.2020.08.047
Abstract: Abstract Helicopters are widely used in maritime Search and Rescue (SAR) missions. To ensure the success of SAR missions, search areas need to be carefully planned. With the development of computer technology and weather forecast… read more here.
Keywords: based minimum; search; means clustering; search area ... See more keywords
K-means clustering analysis and evaluation for internet of acoustic environment characteristics
Sign Up to like & getrecommendations! Published in 2018 at "Cognitive Systems Research"
DOI: 10.1016/j.cogsys.2018.08.009
Abstract: Abstract In order to improve the validity of acoustic environment characteristic analysis of university libraries, an evaluation study method of acoustic environment characteristic cluster analysis of university libraries was proposed based on the modified Cop-Kmeans… read more here.
Keywords: means clustering; acoustic environment; evaluation; clustering analysis ... See more keywords