Výsledky vyhledávání - "Functional k-means clustering algorithm"

A new distance with derivative information for functional k-means clustering algorithm

Autoři: Yinfeng Meng Jiye Liang Fuyuan Cao a další

Zdroj: Information Sciences. :166-185

Témata: 0202 electrical engineering, electronic engineering, information engineering, 02 engineering and technology, 0101 mathematics, 01 natural sciences

Addressing class imbalance in functional data clustering.

Autoři: Higgins, Catherine Carey, Michelle

Zdroj: Advances in Data Analysis & Classification; Dec2025, Vol. 19 Issue 4, p1023-1050, 28p

Simultaneous Denoising and Heterogeneity Learning for Time Series Data.

Autoři: Jiang, Xiwen Shen, Weining

Zdroj: Statistics in Biosciences; Apr2025, Vol. 17 Issue 1, p62-77, 16p

Distance-based Clustering of Functional Data with Derivative Principal Component Analysis.

Autoři: Yu, Ping Shi, Gongming Wang, Chunjie a další

Zdroj: Journal of Computational & Graphical Statistics; Jan-Mar2025, Vol. 34 Issue 1, p47-58, 12p

Témata: PRINCIPAL components analysis, DERIVATIVES (Mathematics), FUNCTIONAL analysis, FUNCTIONALS, DATA analysis

A New Composite Dissimilarity Measure for Planar Curves Based on Higher-Order Derivatives.

Autoři: Wang, Yupeng Cai, Jianghui Yang, Haifeng a další

Zdroj: Mathematics (2227-7390); Oct2024, Vol. 12 Issue 19, p3083, 17p

Témata: INFORMATION technology, SEQUENCE analysis, TIME series analysis, SIGNAL processing, CURVATURE, EUCLIDEAN distance

A deep learning object detection method to improve cluster analysis of two-dimensional data.

Autoři: Couturier, Raphaël Gregori, Pablo Noura, Hassan a další

Zdroj: Multimedia Tools & Applications; Aug2024, Vol. 83 Issue 28, p71171-71187, 17p

Témata: OBJECT recognition (Computer vision), DEEP learning, INFORMATION retrieval, CLUSTER analysis (Statistics), BIG data

Overcoming the Limits of Cross-Sensitivity: Pattern Recognition Methods for Chemiresistive Gas Sensor Array.

Autoři: Mei, Haixia Peng, Jingyi Wang, Tao a další

Zdroj: Nano-Micro Letters; 8/14/2024, Vol. 16 Issue 1, p1-57, 57p

Témata: PATTERN recognition systems, ELECTRONIC noses, GAS detectors, SENSOR arrays, GENETIC algorithms

The Seeding Algorithm for Functional k-Means Problem

Autoři: Min Li Dongmei Zhang Yishui Wang a další

Zdroj: Lecture Notes in Computer Science ISBN: 9783030261757

Predictive maintenance in Industry 4.0: a survey of planning models and machine learning techniques.

Autoři: Hector, Ida Panjanathan, Rukmani

Zdroj: PeerJ Computer Science; May2024, p1-50, 50p

Témata: MACHINE learning, ARTIFICIAL intelligence, INDUSTRY 4.0, SYSTEM downtime, INDUSTRIAL surveys, FEATURE selection, PLANT maintenance, MAINTENANCE

Functional data clustering via information maximization.

Autoři: Li, Xinyu Xu, Jianjun Cheng, Haoyang

Zdroj: Journal of Statistical Computation & Simulation; Nov2023, Vol. 93 Issue 16, p2982-3007, 26p

Témata: DATA analysis, EIGENFUNCTIONS, PROBABILISTIC generative models

METHODOLOGY OF THE COUNTRIES’ ECONOMIC DEVELOPMENT DATA ANALYSIS.

Alternate Title: МЕТОДОЛОГІЯ АНАЛІЗУ ДАНИХ ЕКОНОМІЧНОГО РОЗВИТКУ КРАЇН. (Ukrainian)

Autoři: DONETS, V. V. STRILETS, V. Y. UGRYUMOV, M. L. a další

Zdroj: System Research & Information Technologies / Sistemnì Doslìdžennâ ta Ìnformacìjnì Tehnologìï; 2023, Issue 4, p21-36, 16p

Témata: ECONOMIC statistics, DECISION support systems, ECONOMIC change, DATA compression, ECONOMIC development

Review of Clustering Methods for Functional Data.

Autoři: MIMI ZHANG PARNELL, ANDREW

Zdroj: ACM Transactions on Knowledge Discovery from Data; Aug2023, Vol. 17 Issue 7, p1-34, 34p

Témata: TIME series analysis, CLUSTER analysis (Statistics), CONTINUOUS functions, FUNCTIONAL analysis, MEDICAL sciences

Design of K-means method segmentation for visitor characteristics of Bangkalan cultural heritage tourism.

Autoři: Jauhari, Achmad Suzanti, Ika Oktavia Mufarroha, Fifin Ayu a další

Zdroj: AIP Conference Proceedings; 12/24/2022, Vol. 2679 Issue 1, p1-7, 7p

Témata: HERITAGE tourism, TOURIST attractions, TOURISM, MAP design, LIKERT scale

Mapping Homogeneous Response Areas for Forest Fuel Management Using Geospatial Data, K-Means, and Random Forest Classification.

Autoři: Chávez-Durán, Álvaro Agustín Olvera-Vargas, Miguel Figueroa-Rangel, Blanca a další

Zdroj: Forests (19994907); Dec2022, Vol. 13 Issue 12, p1970, 16p

Témata: FOREST reserves, RANDOM forest algorithms, FUELWOOD, GEOSPATIAL data, FOREST mapping, NATURE reserves, FIRE management

Geografický termín: CHIAPAS (Mexico), SAN Luis Potosi (Mexico), JALISCO (Mexico)

Functional data clustering using principal curve methods.

Autoři: Wu, Ruhao Wang, Bo Xu, Aiping

Zdroj: Communications in Statistics: Theory & Methods; 2022, Vol. 51 Issue 20, p7264-7283, 20p

Témata: PRINCIPAL components analysis, MORTALITY, CURVES, HUMAN fertility

Optimal location of logistics distribution centres with swarm intelligent clustering algorithms.

Autoři: Lin, Tsung-Xian Wu, Zhong-huan Pan, Wen-Tsao

Zdroj: PLoS ONE; 8/25/2022, Vol. 17 Issue 8, p1-16, 16p

Témata: ANT algorithms, ANIMAL social behavior, PARTICLE swarm optimization, K-means clustering, MATHEMATICAL optimization, ALGORITHMS, FRUIT flies

Venture capital investments through the lens of network and functional data analysis.

Autoři: Esposito, Christian Gortan, Marco Testa, Lorenzo a další

Zdroj: Applied Network Science; 6/27/2022, Vol. 7 Issue 1, p1-17, 17p

Correntropy metric-based robust low-rank subspace clustering for motion segmentation.

Autoři: Guo, Li Zhang, Xiaoqian Liu, Zhigui a další

Zdroj: International Journal of Machine Learning & Cybernetics; May2022, Vol. 13 Issue 5, p1425-1440, 16p

APPLICATIONS OF ROUGH SETS IN BIG DATA ANALYSIS: AN OVERVIEW.

Autoři: PIĘTA, PIOTR SZMUC, TOMASZ

Zdroj: International Journal of Applied Mathematics & Computer Science; 2021, Vol. 31 Issue 4, p659-683, 25p

Témata: BIG data, ROUGH sets, DATABASES, DATA mining, DEEP learning, DATA analysis

Digital image processing technology under backpropagation neural network and K-Means Clustering algorithm on nitrogen utilization rate of Chinese cabbages.

Autoři: Wang, Qilin Mao, Xinyu Jiang, Xiaosan a další

Zdroj: PLoS ONE; 3/31/2021, Vol. 16 Issue 3, p1-24, 24p

Témata: CHINESE cabbage, DIGITAL image processing, K-means clustering, STANDARD deviations, CROP growth, RURAL population