Search Results - Robust clustering algorithm

Integration of a Robust Clustering Algorithm and Multiple Sensors to Achieve the Noise Cancellation of Heart Rate

Authors: Jui-Chung Ni Chu-Sing Yang Yu-Tang Wang

Source: 2025 IEEE 6th International Seminar on Artificial Intelligence, Networking and Information Technology (AINIT). :1-5

Robust clustering algorithm: The use of soft trimming approach

Authors: Sona Taheri Adil M. Bagirov Nargiz Sultanova et al.

Source: Pattern Recognition Letters. 185:15-22

Subject Terms: Partitional Clustering, Robust Clustering, Incremental Clustering, Trimming Approach

Access URL: https://hdl.handle.net/11454/105067
https://doi.org/10.1016/j.patrec.2024.06.032

A robust clustering algorithm based on weighted optimization of fuzzy feature difference using shadow sets

Authors: Xiao Su Bin Yu Yunlong Liu

Source: Fuzzy Sets and Systems. 521:109575

ToMATo: an efficient and robust clustering algorithm for high dimensional datasets. An illustration with spike sorting

Authors: Martineau, Louise Pouzat, Christophe Geffray, Ségolen

Subject Terms: FOS: Computer and information sciences, Applications, Applications (stat.AP)

Access URL: http://arxiv.org/abs/2509.17499

Hdcbc: A Robust Clustering Algorithm for Data with Noise, Heterogeneous Densities, and Weak Connectivity

Authors: Chenyu Fang Lin Zhou Shuhua Liu et al.

Research on Typical Power Supply Mode of Rural Wind-solar-storage Complementarity based on K-means-Robust Clustering Algorithm

Authors: Jialin Yang Pengxiang Zhao Na Li et al.

Source: 2022 IEEE 10th Joint International Information Technology and Artificial Intelligence Conference (ITAIC). :1582-1586

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

Robust Clustering Algorithm (RCA): An Elegant Approach to Create Node Clusters without Dead Nodes

Authors: Mohammed Shafakhatullah Khan Shival Dubey

Source: 2021 IEEE 6th International Conference on Computing, Communication and Automation (ICCCA). :460-466

ToMATo: an efficient and robust clustering algorithm for high dimensional datasets. An illustration with spike sorting ; ToMATo : un algorithme de clustering efficace et robuste pour jeux de données en grande dimension. Une illustration avec le tri des potentiels d'action

Authors: Martineau, Louise Pouzat, Christophe Geffray, Ségolen et al.

Contributors: Martineau, Louise Pouzat, Christophe Geffray, Ségolen et al.

Source: https://hal.science/hal-05267380 ; 2025.

Subject Terms: clustering, spike sorting, persistent homology, [STAT.AP]Statistics [stat]/Applications [stat.AP]

Availability: https://hal.science/hal-05267380
https://hal.science/hal-05267380v1/document
https://hal.science/hal-05267380v1/file/ToMATo_for_spike_sorting.pdf

A robust clustering algorithm using spatial fuzzy C-means for brain MR images

Authors: Muhammad Hameed Siddiqi Muhammad Arshad Javed Madallah Alruwaili

Source: Egyptian Informatics Journal, Vol 21, Iss 1, Pp 51-66 (2020)

Subject Terms: Electronic computers. Computer science, 0202 electrical engineering, electronic engineering, information engineering, QA75.5-76.95, 02 engineering and technology

Access URL: https://doaj.org/article/555d9e413f6447ca82f54fad13cac535
https://www.sciencedirect.com/science/article/pii/S1110866519301823

A neighborhood-based robust clustering algorithm using Apollonius function kernel

Authors: Shahin Pourbahrami

Source: Expert Systems with Applications. 248:123407

Multi-View Robust Tensor-Based Subspace Clustering

Authors: Esraa Al-sharoa Mohammad Al-wardat

Source: IEEE Access, Vol 10, Pp 134292-134306 (2022)

Subject Terms: Artificial intelligence, FOS: Political science, 02 engineering and technology, 7. Clean energy, Graph, tensor decomposition, Document Clustering, 11. Sustainability, 0202 electrical engineering, electronic engineering, information engineering, Political science, Data Clustering Techniques and Algorithms, Curse of dimensionality, spectral clustering, Adjacency matrix, Politics, Dimensionality reduction, Community structure, Algorithm, Computational Mathematics, Physical Sciences, 8. Economic growth, Electrical engineering. Electronics. Nuclear engineering, low-rank representation, Stream Data Clustering, optimization, Density-based Clustering, Tensor Decompositions and Applications in Multilinear Algebra, Multi-view networks, Tensor (intrinsic definition), FOS: Law, 12. Responsible consumption, Cluster analysis, Theoretical computer science, Artificial Intelligence, FOS: Mathematics, Adjacency list, Community Structure, Data mining, Pure mathematics, Statistical and Nonlinear Physics, Semi-supervised Clustering, Computer science, TK1-9971, Subspace topology, Physics and Astronomy, Combinatorics, Computer Science, Statistical Mechanics of Complex Networks, Representation (politics), Law, Mathematics

Access URL: https://doaj.org/article/9386537407cb415782e6bc77ede1b44c

A robust clustering algorithm for analysis of composition‐dependent organic aerosol thermal desorption measurements

Authors: Z. Li E. L. D'Ambro S. Schobesberger et al.

Source: Atmospheric Chemistry and Physics, Vol 20, Pp 2489-2512 (2020)

Subject Terms: Chemistry, 13. Climate action, Physics, QC1-999, QD1-999, 01 natural sciences, 0105 earth and related environmental sciences

File Description: application/pdf

Access URL: https://acp.copernicus.org/articles/20/2489/2020/acp-20-2489-2020.pdf
https://acp.copernicus.org/articles/20/2489/2020/
https://doaj.org/article/36791a1caef64efa8b71b5b8c0dd3367
https://www.atmos-chem-phys.net/20/2489/2020/acp-20-2489-2020.pdf
http://ui.adsabs.harvard.edu/abs/2020ACP....20.2489L/abstract
https://acp.copernicus.org/articles/20/2489/2020/acp-20-2489-2020.pdf
https://www.atmos-chem-phys-discuss.net/acp-2019-733/
https://miami.pure.elsevier.com/en/publications/a-robust-clustering-algorithm-for-analysis-of-composition-depende
https://acp.copernicus.org/articles/20/2489/2020/

A robust clustering algorithm for analysis of composition-dependent organic aerosol thermal desorption measurements

Authors: Z. Li E. L. D'Ambro S. Schobesberger et al.

Source: Atmospheric Chemistry and Physics, Vol 20, Pp 2489-2512 (2020)

Subject Terms: Physics, QC1-999, Chemistry, QD1-999

File Description: electronic resource

Relation: https://www.atmos-chem-phys.net/20/2489/2020/acp-20-2489-2020.pdf; https://doaj.org/toc/1680-7316; https://doaj.org/toc/1680-7324

Access URL: https://doaj.org/article/36791a1caef64efa8b71b5b8c0dd3367

Designing a clustering algorithm for optimizing health station locations.

Authors: Fränti, Pasi Sieranoja, Sami Laatikainen, Tiina

Source: International Journal of Health Geographics. 3/22/2025, Vol. 24 Issue 1, p1-12. 12p.

Subject Terms: *CLUSTERING algorithms, *COMPUTATIONAL mathematics, *EUCLIDEAN distance, *MATHEMATICAL optimization, *COST functions

Evaluation of the Quality of Robust Clustering Algorithm TCLUST on the Example of Dataset of Air Pollutants Emission in Krakow

Authors: Daniel Kosiorowski Ewa Szlachtowska Dominik Mielczarek

Source: Przegląd Statystyczny. 63:67-80

Subject Terms: 13. Climate action, 11. Sustainability, 12. Responsible consumption

Access URL: https://ps.stat.gov.pl/PS/2016/1/ps_1_2016__08_EWA SZLACHTOWSKA DANIEL KOSIOROWSKI DOMINIK MIELCZAREK OCENA JAKOŚCI APLIKACYJNEJ ODPORN.pdf
https://ps.stat.gov.pl/Article/2016/1/067-080

FIT2COMIn – Robust Clustering Algorithm for Incomplete Data

Authors: Krzysztof Siminski

Source: Advances in Intelligent Systems and Computing ISBN: 9783030319632

Access URL: https://rd.springer.com/chapter/10.1007/978-3-030-31964-9_10
https://dblp.uni-trier.de/db/conf/icmmi/icmmi2019.html#Siminski19
https://link.springer.com/chapter/10.1007%2F978-3-030-31964-9_10

Fast, Robust and Scalable Clustering Algorithms with Applications in Computer Vision

Authors: Petrosyan, Vahan Proutiere, Alexandre, Professor Johansson, Mikael, Dr. et al.

Contributors: Petrosyan, Vahan Proutiere, Alexandre, Professor Johansson, Mikael, Dr. et al.

Source: TRITA-EECS-AVL.

Subject Terms: Datalogi, Computer Science, Electrical Engineering, Elektro- och systemteknik

File Description: electronic

Access URL: https://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-238512
https://kth.diva-portal.org/smash/get/diva2:1260722/FULLTEXT01.pdf

Scalable Clustering: Large Scale Unsupervised Learning of Gaussian Mixture Models with Outliers.

Authors: Zhou, Yijia Gallivan, Kyle A. Barbu, Adrian

Source: Journal of Computational & Graphical Statistics. Jul-Sep2025, Vol. 34 Issue 3, p884-895. 12p.

Subject Terms: *SCALABILITY, *STATISTICAL reliability, GAUSSIAN mixture models, CLUSTERING algorithms, COST functions, K-means clustering, SELF-organizing systems, OUTLIERS (Statistics)

Robust Estimation in the Normal Mixture Model Based on Robust Clustering

Authors: Cuesta-Albertos, J. A. Matrán, C. Mayo-Iscar, A.

Source: Journal of the Royal Statistical Society. Series B (Statistical Methodology), 2008 Sep 01. 70(4), 779-802.

Access URL: https://www.jstor.org/stable/20203855

A Robust Bio-Inspired Clustering Algorithm for the Automatic Determination of Unknown Cluster Number

Authors: BACCIU, DAVIDE STARITA, ANTONINA

Source: 2007 International Joint Conference on Neural Networks. :1314-1319

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

Access URL: http://ieeexplore.ieee.org/document/4371148/
https://doi.org/10.1109/IJCNN.2007.4371148
https://hdl.handle.net/11568/466670