Search Results - "Batch clustering algorithm"

Batch clustering algorithm for big data sets

Authors: Rasim M. Alguliyev Ramiz M. Aliguliyev Adil M. Bagirov et al.

Source: 2016 IEEE 10th International Conference on Application of Information and Communication Technologies (AICT). :1-4

Subject Terms: 0202 electrical engineering, electronic engineering, information engineering, 02 engineering and technology

Access URL: https://ieeexplore.ieee.org/document/7991657/

A clustering-based analysis method for simulating seismic damage of buildings in large cities.

Authors: Chen, Xianan Zhang, Lingxin Lin, Xuchuan et al.

Source: Engineering Structures. May2024, Vol. 307, pN.PAG-N.PAG. 1p.

Subject Terms: *CITIES & towns, *GROUND motion, *K-means clustering, *EARTHQUAKE damage, *METROPOLIS

MULTIMODAL CORRELATIONS-BASED DATA CLUSTERING.

Authors: JIA CHEN SCHIZAS, IOANNIS D.

Source: Foundations of Data Science; Sep2022, Vol. 4 Issue 3, p395-422, 28p

Subject Terms: ONLINE information services, INFORMATION retrieval, ALGORITHMS, STATISTICAL correlation, DATA analysis

Minimising makespan heuristics for scheduling a single batch machine processing machine with non-identical job sizes.

Authors: Lee, Yoon Ho Lee, Young Hoon

Source: International Journal of Production Research; Jun2013, Vol. 51 Issue 12, p3488-3500, 13p, 5 Charts

Subject Terms: HEURISTIC, PRODUCTION scheduling, BATCH processing, MIXED integer linear programming, ITERATIVE methods (Mathematics), MATHEMATICAL decomposition

GRADIENT DESCENT BATCH CLUSTERING FOR IMAGE CLASSIFICATION.

Authors: JAE SAM PARK¹ jaepark@inu.ac.kr

Source: Image Analysis & Stereology. 2023, Vol. 42 Issue 2, p133-144. 12p.

Subject Terms: *IMAGE recognition (Computer vision), *PRINCIPAL components analysis, *STOCHASTIC processes, *CLASSIFICATION algorithms, *CLUSTER algebras

DKCDC: A clustering algorithm focusing on genuine boundary search for regional division.

Authors: Zheng, Qin Zhang, Keju Chen, Qianqian et al.

Source: PLoS ONE; 9/4/2025, Vol. 20 Issue 9, p1-25, 25p

Subject Terms: CLUSTERING algorithms, GEOGRAPHIC boundaries, OUTLIER detection, IMAGE segmentation

IBK-MEANS: AN ITERATIVE BATCH K-MEANS ALGORITHM FOR BIG DATA CLUSTERING.

Authors: Alguliyev, Rasim Aliguliyev, Ramiz Bagirov, Adil M. et al.

Source: Kybernetika; 2025, Vol. 61 Issue 4, p492-508, 17p

Subject Terms: CLUSTERING algorithms, K-means clustering, SCALABILITY, DATA mining, CLUSTER analysis (Statistics)

Large-Scale K-Clustering.

Authors: Voevodski, Konstantin

Source: ACM Transactions on Knowledge Discovery from Data; Nov2024, Vol. 18 Issue 9, p1-23, 23p

Subject Terms: MACHINE learning, ACQUISITION of data, ALGORITHMS, SAMPLE size (Statistics), PARALLEL algorithms

Parallel batch k-means for Big data clustering.

Authors: Alguliyev, Rasim M. Aliguliyev, Ramiz M. Sukhostat, Lyudmila V.

Source: Computers & Industrial Engineering. Feb2021, Vol. 152, pN.PAG-N.PAG. 1p.

Subject Terms: *BIG data, EXPONENTIAL functions, K-means clustering, COMPUTATIONAL complexity, STATISTICAL significance

Small-Variance Nonparametric Clustering on the Hypersphere

Authors: Straub, Julian Campbell, Trevor How, Jonathan P. et al.

Index Terms: Computer Science - Computer Vision and Pattern Recognition, Mathematics - Statistics Theory, Statistics - Applications, text

URL: http://arxiv.org/abs/1607.06407

Small-variance nonparametric clustering on the hypersphere

Authors: Massachusetts Institute of Technology. Computer Science and Artificial Intelligence Laboratory Massachusetts Institute of Technology. Department of Aeronautics and Astronautics Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science et al.

Source: MIT web domain

Index Terms: Article, http://purl.org/eprint/type/ConferencePaper

URL: http://hdl.handle.net/1721.1/105223
https://orcid.org/0000-0003-2339-1262
https://orcid.org/0000-0003-1499-0191
https://orcid.org/0000-0001-8576-1930
https://orcid.org/0000-0003-4844-3495
http://dx.doi.org/10.1109/CVPR.2015.7298630
IEEE Conference on Computer Vision and Pattern Recognition, 2015. CVPR 2015.

Simulating Soil–Disc Plough Interaction Using Discrete Element Method–Multi-Body Dynamic Coupling.

Authors: Ucgul, Mustafa

Source: Agriculture; Basel; Feb2023, Vol. 13 Issue 2, p305, 14p

Subject Terms: DISCRETE element method, SOIL dynamics, EMPIRICAL research, SOIL testing

Geographic Terms: AUSTRALIA

Enhanced Firefly-K-Means Clustering with Adaptive Mutation and Central Limit Theorem for Automatic Clustering of High-Dimensional Datasets.

Authors: Ikotun, Abiodun M. Ezugwu, Absalom E.

Source: Applied Sciences (2076-3417); Dec2022, Vol. 12 Issue 23, p12275, 27p

Subject Terms: METAHEURISTIC algorithms, K-means clustering, CENTRAL limit theorem, CLUSTER algebras, MACHINE learning

Privacy preserved incremental record linkage.

Authors: Khan, Shahidul Islam Khan, Abir Bin Ayub Hoque, Abu Sayed Md Latiful

Source: Journal of Big Data; 11/14/2022, Vol. 9 Issue 1, p1-27, 27p

Subject Terms: PRIVACY, HIERARCHICAL clustering (Cluster analysis), DATA privacy, MEDICAL records, INTERNET privacy

SubtStream: Online subtractive stream clustering algorithm.

Authors: Milli, Musa Bulut, Hasan

Source: Concurrency & Computation: Practice & Experience; 7/10/2022, Vol. 34 Issue 15, p1-18, 18p

Subject Terms: REAL-time computing, ALGORITHMS, BIG data, ELECTRONIC data processing, ONLINE algorithms, FUZZY algorithms

A comparison of small-batch clustering and charge-comparison methods for n/[formula omitted] discrimination using a liquid scintillation detector.

Authors: Wang, Feipeng Yang, Minghan Wang, Jianye et al.

Source: Nuclear Instruments & Methods in Physics Research Section A. Apr2022, Vol. 1028, pN.PAG-N.PAG. 1p.

Subject Terms: *SCINTILLATION counters, *LIQUID scintillators, *NEUTRON counters, *GAUSSIAN mixture models, *FORM perception, *PARTICLE beam bunching

An improved K‐means algorithm for big data.

Authors: Moodi, Fatemeh Saadatfar, Hamid

Source: IET Software (Wiley-Blackwell); Feb2022, Vol. 16 Issue 1, p48-59, 12p

Subject Terms: K-means clustering, MACHINE learning, BIG data, ALGORITHMS, ITERATIVE methods (Mathematics)

Selectivity estimation with density-model-based multidimensional histogram.

Authors: Zhang, Meifan Wang, Hongzhi

Source: Knowledge & Information Systems; Apr2021, Vol. 63 Issue 4, p971-992, 22p

Subject Terms: HISTOGRAMS, DENSITY, PAILS

Statistical hierarchical clustering algorithm for outlier detection in evolving data streams.

Authors: Krleža, Dalibor Vrdoljak, Boris Brčić, Mario

Source: Machine Learning; 2021, Vol. 110 Issue 1, p139-184, 46p

Subject Terms: OUTLIER detection, HIERARCHICAL clustering (Cluster analysis), INFERENTIAL statistics, ALGORITHMS, RIVERS

Creating Incremental Models of Indoor Environments through Omnidirectional Imaging.

Authors: Román, Vicente Payá, Luis Cebollada, Sergio et al.

Source: Applied Sciences (2076-3417); Sep2020, Vol. 10 Issue 18, p6480, 28p

Subject Terms: ROBOT vision, IMAGE sensors, ALGORITHMS, STEREO vision (Computer science)