Výsledky vyhľadávania - "noise clustering algorithm"

Rapid determination of lambda-cyhalothrin residues on Chinese cabbage based on MIR spectroscopy and a Gustafson-Kessel noise clustering algorithm Autor Zheng, Jun, Gong, Zhe, Yin, Shaojie, Wang, Wei, Wang, Meng, Lin, Peng, Zhou, Haoxiang, Yang, Yangjian

“…Pesticide residues exceeding the standard in Chinese cabbage is harmful to human health. In order to quickly, non-destructively and effectively qualitatively…”
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Keypoints based enhanced multiple copy-move forgeries detection system using density-based spatial clustering of application with noise clustering algorithm Autor Soni, Badal, Das, Pradip K, Thounaojam, Dalton Meitei

“…In this study, the problem of detecting if an image has tampered is inquired; especially, the attention has been paid to the case in which the portion of an…”
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A Fuzzy Identification Method Based on the Likelihood Function and Noise Clustering Algorithm Autor Tsai, Shun-Hung, Chen, Yi-Ting

“…In this paper, based on the modified fuzzy c-regression model and noise clustering algorithm, a fuzzy identification method is proposed…”
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Research on multi-label classification method of transformer based on DBSCAN (Density-Based Spatial Clustering of Applications with Noise) clustering algorithm Autor Wang, MingYu, Cheng, Rui

“…With the improvement of the intelligent level of power grid and the enhancement of the integrated characteristics of power grid, the degree of discretization…”
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Improved Density Based Spatial Clustering of Applications of Noise Clustering Algorithm for Knowledge Discovery in Spatial Data Autor Sharma, Arvind, Tiwari, Akhilesh, Gupta, R. K.

“…There are many techniques available in the field of data mining and its subfield spatial data mining is to understand relationships between data objects. Data…”
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A novel fuzzy c-regression model algorithm using a new error measure and particle swarm optimization Autor Soltani, Moêz, Chaari, Abdelkader, Ben Hmida, Fayçal

“…This paper presents a new algorithm for fuzzy c-regression model clustering. The proposed methodology is based on adding a second regularization term in the…”
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Alternative Noise Clustering Algorithm Autor Xiao-Hong Wu, Jian-Jiang Zhou

“…Based on a new distance, a novel noise-resistant fuzzy clustering algorithm called alternative noise clustering (ANC) algorithm is proposed. ANC is an…”
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Noise Clustering Algorithm based on Kernel Method Autor Chotiwattana, W.

“…Based on a distance of kernel method, a novel noise-resistant fuzzy clustering algorithm called kernel noise clustering (KNC) algorithm, is proposed. KNC is an…”
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Improving Noise Clustering Algorithm Using Ant Colony Optimization Autor Hajihashemi, Z., Minaei, B.

“…Noise clustering, as a robust clustering method, performs partitioning of data sets reducing errors caused by outliers. In many applications outliers contain…”
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Noise clustering algorithm revisited Autor Dave, R.N., Sen, S.

“…Dave's (1991) noise clustering (NC) algorithm is revisited. In the original NC algorithm, the distance of a noise prototype from all the points was defined to…”
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A modified fuzzy c-regression model clustering algorithm for T-S fuzzy model identification Autor Soltani, M, Aissaoui, B, Chaari, A, Ben Hmida, Faycal, Gossa, M

“…In this paper, a modified fuzzy c-regression model (FCRM) clustering algorithm for identification of Takagi-Sugeno (T-S) fuzzy model is proposed. The FCRM…”
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Effective FCM noise clustering algorithms in medical images Autor Kannan, S.R, Devi, R, Ramathilagam, S, Takezawa, K

“…Abstract The main motivation of this paper is to introduce a class of robust non-Euclidean distance measures for the original data space to derive new…”
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A Complexity Survey on Density based Spatial Clustering of Applications of Noise Clustering Algorithms Autor Hassan, Boulchahoub, Zineb, Rachiq, Amine, Labriji, Elhoussine, Labriji

“…Data Clustering is an interesting field of unsupervised learning that has been extensively used and discussed over several research papers and scientific…”
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Robust clustering of noisy high-dimensional gene expression data for patients subtyping Autor Coretto, Pietro, Serra, Angela, Tagliaferri, Roberto

“…Abstract Motivation One of the most important research areas in personalized medicine is the discovery of disease sub-types with relevance in clinical…”
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Exploration of Halo Substructures in Integrals-of-motion Space with Gaia Data Release 3 Autor Liu, Haoyang, Du, Cuihua, Ye, Dashuang, Zhang, Jian, Deng, Mingji

“… and potentially new substructures. By applying the Hierarchical Density-Based Spatial Clustering of Applications with Noise clustering algorithm in integrals-of-motion space (i.e., E , L z , and L ⊥ = L x 2 + L y 2…”
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Robust Lane Detection using Two-stage Feature Extraction with Curve Fitting Autor Niu, Jianwei, Lu, Jie, Xu, Mingliang, Lv, Pei, Zhao, Xiaoke

“…With the increase in the number of vehicles, many intelligent systems have been developed to help drivers to drive safely. Lane detection is a crucial element…”
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TBM tunneling strata automatic identification and working conditions decision support Autor Fu, Kang, Qiu, Daohong, Xue, Yiguo, Shao, Tao, Lan, Gonghao

“… (Density-Based Spatial Clustering of Applications with Noise) clustering algorithm was improved using kernel density estimation to achieve TBM tunnel surrounding rock classification based on tunneling…”
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A Multicomponent Collaborative Fossil Fuel Power Plants Detection Framework Based on Geographic Analysis in Wide Areas Autor Li, Ning, Jing, Min, Geng, Wanxuan, Dongye, Shengkun, Chen, Hui, Ji, Chen, Cheng, Liang

“…Fossil fuel power plants (FFPPs) are major sources of carbon dioxide emissions in the power industry. Accurately locating these plants is essential for…”
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Airborne hyperspectral imaging for early diagnosis of kimchi cabbage downy mildew using 3D-ResNet and leaf segmentation Autor Kuswidiyanto, Lukas Wiku, Wang, Pingan, Noh, Hyun-Ho, Jung, Hee-Young, Jung, Dae-Hyun, Han, Xiongzhe

“…•An Airborne hyperspectral imaging system was used to monitor kimchi cabbage downy mildew disease.•The Red-edge, Green, and Blue band (ReGB) composite…”
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Data Clustering Utilization Technologies Using Medians of Current Values for Improving Arc Sensing in Unstructured Environments Autor Kim, Hee-Jun, Kim, Jeong-Ho, Heo, Shin-Nyeong, Jeon, Do-Hyung, Kim, Won-Suk

“…), based on the DBSCAN (density-based spatial clustering of applications with noise) clustering algorithm…”
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