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Parallelizing ISODATA Algorithm for Unsupervised Image Classification on GPU
2013Iterative Self-Organizing Data Analysis Technique Algorithm (ISODATA) is commonly used for unsupervised image classification in remote sensing applications. Although parallelized approaches were explored, previous works mostly utilized the power of CPU clusters.
Fei Ye, Xuan Shi
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Feature selection based on sensitivity analysis of fuzzy ISODATA
Neurocomputing, 2012A feature selection method based on sensitivity analysis and the fuzzy Interactive Self-Organizing Data Algorithm (ISODATA) is proposed for selecting features from high dimensional gene expression data sets. First, feature sensitivities for discriminating classes are calculated on the basis of the fuzzy ISODATA method.
Quanjin Liu +3 more
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Wireless Channel Scenario Classification Based on ISODATA
2023 5th International Conference on Electronic Engineering and Informatics (EEI), 2023Siyuan Tan +3 more
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Power Load Curve Clustering based on ISODATA
2022 IEEE 7th International Conference on Smart Cloud (SmartCloud), 2022Zhu Li, Xia Yu
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Hyperspectral Imaging Classification Using ISODATA Algorithm: Big Data Challenge
2015 Fifth International Conference on e-Learning (econf), 2015Hyperspectral imaging is employed in a broad array of applications. The usual idea in all of these applications is the requirement for classification of a hyperspectral image data. Where Hyperspectral data consists of many bands - up to hundreds of bands - that cover the electromagnetic spectrum.
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ISODS: An ISODATA-Based Initial Centroid Algorithm
2021Gardner, Noah +3 more
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A Physical Interpretation of Fuzzy ISODATA
IEEE Transactions on Systems, Man, and Cybernetics, 1976openaire +1 more source
Thresholding Using the ISODATA Clustering Algorithm
IEEE Transactions on Systems, Man, and Cybernetics, 1980openaire +1 more source
Fluorescence molecular tomography of permissible region selected by ISODATA
Optics and Precision Engineering, 2018侯榆青 HOU Yu-qing +4 more
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