Suchergebnisse - Functional k-means clustering algorithm

Machine Learning K-Means Clustering in Interpolative Separable Density Fitting Algorithm: Advancing Accurate and Efficient Cubic-Scaling Density Functional Perturbation Theory Calculations within Plane Waves

Autoren: Jielan Li Liu Yang Lingyun Wan et al.

Quelle: The Journal of Physical Chemistry A. 128:1913-1924

Zugangs-URL: https://pubmed.ncbi.nlm.nih.gov/38439159

Complex-Valued K-Means Clustering of Interpolative Separable Density Fitting Algorithm for Large-Scale Hybrid Functional Enabled Ab Initio Molecular Dynamics Simulations within Plane Waves

Autoren: Shizhe Jiao Jielan Li Xinming Qin et al.

Quelle: The Journal of Physical Chemistry A. 128:1925-1937

Schlagwörter: Chemical Physics (physics.chem-ph), Physics - Chemical Physics, FOS: Physical sciences, Computational Physics (physics.comp-ph), Physics - Computational Physics

Zugangs-URL: https://pubmed.ncbi.nlm.nih.gov/38430107
http://arxiv.org/abs/2208.07731

K-Means Clustering Algorithm–Based Functional Magnetic Resonance for Evaluation of Regular Hemodialysis on Brain Function of Patients with End-Stage Renal Disease

Autoren: Yan Cheng Yan Yu

Quelle: Comput Math Methods Med

Schlagwörter: 03 medical and health sciences, Magnetic Resonance Spectroscopy, 0302 clinical medicine, Renal Dialysis, Brain, Cluster Analysis, Humans, Kidney Failure, Chronic, Magnetic Resonance Imaging, Algorithms, Research Article, 3. Good health

Zugangs-URL: https://pubmed.ncbi.nlm.nih.gov/35774296

Implementation of the K-Means Clustering Algorithm for Customer Segmentation

Autoren: Kapti Kapti Dwi Astuti

Quelle: Sistemasi: Jurnal Sistem Informasi, Vol 14, Iss 6, Pp 2751-2767 (2025)

Schlagwörter: clustering, grouping, drugs, k-means clustering, health center, Technology, Information technology, T58.5-58.64

Dateibeschreibung: electronic resource

Relation: https://sistemasi.ftik.unisi.ac.id/index.php/stmsi/article/view/5573; https://doaj.org/toc/2302-8149; https://doaj.org/toc/2540-9719

Zugangs-URL: https://doaj.org/article/d6a49886e50b4e1e8f2e8b2e72319756

Machine Learning K-Means Clustering Algorithm for Interpolative Separable Density Fitting to Accelerate Hybrid Functional Calculations with Numerical Atomic Orbitals

Autoren: Xinming Qin Jielan Li Wei Hu et al.

Quelle: The Journal of Physical Chemistry A. 124:10066-10074

Schlagwörter: 0103 physical sciences, 01 natural sciences

Zugangs-URL: https://pubmed.ncbi.nlm.nih.gov/33200932
https://www.ncbi.nlm.nih.gov/pubmed/33200932
https://pubmed.ncbi.nlm.nih.gov/33200932/
https://europepmc.org/article/MED/33200932
https://www.scilit.net/article/1ef5290afed4756ac7c8ed8f96837f0d
https://pubs.acs.org/doi/10.1021/acs.jpca.0c06019

Investigation of the Stability Mechanisms of Eight-Atom Binary Metal Clusters Using DFT Calculations and k-means Clustering Algorithm

Autoren: Felipe Orlando Morais Karla F. Andriani Juarez L. F. Da Silva

Quelle: Journal of Chemical Information and Modeling. 61:3411-3420

Schlagwörter: 0301 basic medicine, 0303 health sciences, 03 medical and health sciences, Metals, Cluster Analysis, 01 natural sciences, Algorithms, Density Functional Theory, 0104 chemical sciences

Zugangs-URL: https://pubmed.ncbi.nlm.nih.gov/34161078
https://dblp.uni-trier.de/db/journals/jcisd/jcisd61.html#MoraisAS21
https://bv.fapesp.br/pt/publicacao/196984/investigation-of-the-stability-mechanisms-of-eight-atom-bina/
https://pubmed.ncbi.nlm.nih.gov/34161078/

Computer-assisted interpretation, in-depth exploration and single cell type annotation of RNA sequence data using k-means clustering algorithm

Autoren: Pranshu, Saxena Amit, Sinha Sanjay Kumar, Singh

Quelle: Computer Methods in Biomechanics and Biomedical Engineering. 28:668-678

Schlagwörter: Clustering Algorithms, Sequence Analysis, RNA, Gene Expression Profiling, Cluster Analysis, Humans, Computational Biology, Single-Cell Analysis, Algorithms

Zugangs-URL: https://pubmed.ncbi.nlm.nih.gov/38235728

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

Autoren: Yinfeng Meng Jiye Liang Fuyuan Cao et al.

Quelle: Information Sciences. :166-185

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

Selection of density standard and X–ray tube settings for computed digital absorptiometry in horses using the k–means clustering algorithm.

Autoren: Turek, Bernard Pawlikowski, Marek Jankowski, Krzysztof et al.

Quelle: BMC Veterinary Research. 3/13/2025, Vol. 21 Issue 1, p1-19. 19p.

Schlagworte: Clustering algorithms, Phalanges, Bone density, Cancellous bone, Compact bone

A novel approach for the segmentation of retinal images by integration K-means clustering algorithm with graph cut for image segmentation.

Autoren: Bhoopalan, Ramasubramanian Priyadharshini, S.

Quelle: Scientific Reports; 10/15/2025, Vol. 15 Issue 1, p1-13, 13p

Schlagwörter: K-means clustering, DIABETIC retinopathy, IMAGE segmentation, EDGE detection (Image processing), MEDICAL technology, IMAGE enhancement (Imaging systems), EYE examination

Sample Entropy Combined with the K-Means Clustering Algorithm Reveals Six Functional Networks of the Brain

Autoren: Yanbing Jia Huaguang Gu

Quelle: Entropy (Basel)
Entropy
Volume 21
Issue 12

Schlagwörter: 03 medical and health sciences, 0302 clinical medicine, dynamic functional connectivity, sample entropy, static functional connectivity, K-means clustering algorithm, brain functional networks, complexity, Article, 3. Good health

Dateibeschreibung: application/pdf

Zugangs-URL: https://www.mdpi.com/1099-4300/21/12/1156/pdf
https://www.mdpi.com/1099-4300/21/12/1156
https://dblp.uni-trier.de/db/journals/entropy/entropy21.html#JiaG19
https://doi.org/10.3390/e21121156
https://europepmc.org/article/PMC/PMC7514501
https://www.mdpi.com/1099-4300/21/12/1156/pdf
http://ui.adsabs.harvard.edu/abs/2019Entrp..21.1156J/abstract

A self-organizing clustering algorithm for functional data.

Autoren: Chen, Jen-Hao Chang, Yen-Chang Hung, Wen-Liang

Quelle: Communications in Statistics: Simulation & Computation. 2020, Vol. 49 Issue 5, p1237-1263. 27p.

Schlagwörter: *K-means clustering, *FUZZY algorithms, *CLASSIFICATION algorithms, *ALGORITHMS, *PRIOR learning

Computer-assisted interpretation, in-depth exploration and single cell type annotation of RNA sequence data using k-means clustering algorithm.

Autoren: Saxena, Pranshu Sinha, Amit Singh, Sanjay Kumar

Quelle: Computer Methods in Biomechanics & Biomedical Engineering; Apr2025, Vol. 28 Issue 5, p668-678, 11p

Schlagwörter: NUCLEOTIDE sequence, RNA sequencing, GENE mapping, DATABASES, TRANSCRIPTOMES, K-means clustering

An approach to predict gallbladder stone using Mumford Shah approach algorithm and comparing accuracy with K-means clustering algorithm.

Autoren: Babuji, D. Manikandan, G.

Quelle: AIP Conference Proceedings; 2024, Vol. 3193 Issue 1, p1-10, 10p

Schlagwörter: K-means clustering, SAMPLE size (Statistics), RESEARCH methodology, PHOTOGRAPHS, FORECASTING, GALLBLADDER

Unsupervised Machine Learning to Identify Patient Clusters and Tailor Perioperative Care in Colorectal Surgery.

Autoren: Deslarzes, Philip Xu, He Ayu Raisaro, Jean Louis et al.

Quelle: Diagnostics (2075-4418); Sep2025, Vol. 15 Issue 17, p2124, 12p

Schlagwörter: PERIOPERATIVE care, ENHANCED recovery after surgery protocol, CLUSTERING algorithms, TREATMENT effectiveness, K-means clustering, REGULATORY compliance, COHORT analysis, PROCTOLOGY

A deep embedded clustering algorithm in conjunction with an ensemble technique for mineral prospectivity mapping.

Autoren: Saremi, Mobin Hoseinzade, Zohre Yousefi, Mahyar

Quelle: Scientific Reports; 10/30/2025, Vol. 15 Issue 1, p1-17, 17p

Schlagwörter: CLUSTERING algorithms, ENSEMBLE learning, GEOLOGICAL mapping, HIERARCHICAL clustering (Cluster analysis), PROSPECTING, GEOSPATIAL data, ARTIFICIAL neural networks, PATTERN perception

A Parametric Design Method for Landscape Garden Layout Based on Clustering Algorithm.

Autoren: Lin, Zhu¹ (AUTHOR) 11096@bitzh.edu.cn

Quelle: International Journal of High Speed Electronics & Systems. Dec2025, Vol. 34 Issue 4, p1-29. 29p.

Schlagwörter: *CLUSTERING algorithms, *LANDSCAPE architecture, *HAMMING distance, *LANDSCAPE gardening, *COMPUTER software, *LANDSCAPE design

Noise reduction and functional maps image quality improvement in dynamic CT perfusion using a new k-means clustering guided bilateral filter (KMGB)

Autoren: Thomas Henzler Bernhard Schmidt Stefan O. Schönberg et al.

Quelle: Medical Physics. 44:3464-3482

Schlagwörter: 03 medical and health sciences, 0302 clinical medicine, Phantoms, Imaging, Cluster Analysis, Humans, Tomography, X-Ray Computed, Quality Improvement, Algorithms

Zugangs-URL: https://pubmed.ncbi.nlm.nih.gov/28437011
https://www.ncbi.nlm.nih.gov/pubmed/28437011
http://ui.adsabs.harvard.edu/abs/2017MedPh..44.3464P/abstract
https://aapm.onlinelibrary.wiley.com/doi/full/10.1002/mp.12297
https://europepmc.org/article/MED/28437011

Insight into the influence of various cultivation regions on the identification of metabolites from Capsella bursa-pastoris via a clustering algorithm.

Autoren: Lee, In Young Lee, Doo-Hee Lee, Min Ju et al.

Quelle: Scientific Reports; 10/15/2025, Vol. 15 Issue 1, p1-14, 14p

Schlagwörter: METABOLOMICS, CLUSTERING algorithms, HERBACEOUS plants, GEOGRAPHIC spatial analysis, MACHINE learning, METABOLITES, AGRICULTURE, SULFUR compounds

Geografische Kategorien: KOREA

An enhanced microstate clustering algorithm based on canopy, K-means, and genetic simulated annealing.

Autoren: Liang, Jingting Yin, Xiangguo Lin, Mingxing

Quelle: Biomedical Physics & Engineering Express; Jul2025, Vol. 11 Issue 4, p1-14, 14p