Suchergebnisse - Clustering— Algorithms General Terms Algorithms Keywords Non-Redundant Clustering

A Novel Crowding Clustering Algorithm for Unsupervised and Supervised Filter Feature Selection Problem.

Autoren: Ghanem, Khadoudja Layeb, Abdesslem

Quelle: Arabian Journal for Science & Engineering (Springer Science & Business Media B.V. ); Aug2025, Vol. 50 Issue 15, p11887-11925, 39p

Schlagwörter: FEATURE selection, CLUSTERING algorithms, MATHEMATICAL optimization, MACHINE learning, SUPERVISED learning, MULTI-objective optimization, STATISTICAL reliability

Music emotion classification based on random swap algorithm.

Autoren: Wiafe, Abigail Sieranoja, Sami Fränti, Pasi

Quelle: Scientific Reports; 11/3/2025, Vol. 15 Issue 1, p1-13, 13p

Schlagwörter: EMOTION recognition, CLUSTER analysis (Statistics), CLASSIFICATION, PATTERN perception, CLUSTERING algorithms, RHYTHM, EMOTIONAL state

Unsupervised Voting for Detecting the Algorithmic Solving Strategy in Competitive Programming Solutions.

Autoren: Stoica, Alexandru Stefan Babiceanu, Daniel Mihaescu, Marian Cristian et al.

Quelle: Mathematics (2227-7390); Nov2025, Vol. 13 Issue 22, p3589, 19p

Schlagwörter: MACHINE learning, CLUSTERING algorithms, COMPUTER science, ALGORITHMS, SOURCE code

Exploratory and Exploitative Innovation Performance in the Artificial Intelligence Industry in China from the Perspective of a Collaboration Network: A Data-Driven Analysis.

Autoren: Zhang, Liping Li, Hailin Zhou, Wenhao et al.

Quelle: Entropy; Jun2025, Vol. 27 Issue 6, p577, 24p

Schlagwörter: CLUSTERING algorithms, MACHINE learning, INTERORGANIZATIONAL networks, INDUSTRIAL clusters, ARTIFICIAL intelligence

Research Track Paper Non-Redundant Clustering with Conditional Ensembles

Autoren: David Gondek Thomas Hofmann The Pennsylvania State University CiteSeerX Archives

Weitere Verfasser: David Gondek Thomas Hofmann The Pennsylvania State University CiteSeerX Archives

Quelle: http://www.cs.uiuc.edu/class/fa05/cs591han/kdd05/docs/p70.pdf.

Schlagwörter: Categories and Subject Descriptors H.2.8 [Database Management, Database Applications— Data mining, I.5.3 [Pattern Recognition, Clustering— Algorithms General Terms Algorithms Keywords Non-Redundant Clustering, Cluster Ensembles

Dateibeschreibung: application/pdf

Relation: http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.386.9974; http://www.cs.uiuc.edu/class/fa05/cs591han/kdd05/docs/p70.pdf

Verfügbarkeit: http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.386.9974
http://www.cs.uiuc.edu/class/fa05/cs591han/kdd05/docs/p70.pdf

A comprehensive survey on RGB-D-based human action recognition: algorithms, datasets, and popular applications.

Autoren: Zhang, Yumin Wang, Yanyong

Quelle: EURASIP Journal on Image & Video Processing; 8/13/2025, Vol. 2025 Issue 1, p1-65, 65p

Schlagwörter: HUMAN activity recognition, COMPUTER vision, DEPTH maps (Digital image processing), ALGORITHMS, TRANSFORMER models, RECURRENT neural networks, DEEP learning, CONVOLUTIONAL neural networks

Double-Constrained Consensus Clustering with Application to Online Anti-Counterfeiting.

Autoren: Carpineto, Claudio Romano, Giovanni

Quelle: Applied Sciences (2076-3417); Sep2023, Vol. 13 Issue 18, p10050, 24p

Schlagwörter: WEBSITES, FORGERY, MARKETING

Summarization Scheme based on Near-duplicate Analysis

Autoren: David Gorisse Frederic Precioso Matthieu Cord et al.

Weitere Verfasser: David Gorisse Frederic Precioso Matthieu Cord et al.

Quelle: http://www.i3s.unice.fr/~precioso/documents/GPCP08.pdf.

Schlagwörter: Categories and Subject Descriptors I.5.3 [Pattern Recognition, Clustering, Algorithms General Terms Algorithms, Experimentation, Performance Keywords LSH, Near-duplicate, Video summarization

Dateibeschreibung: application/pdf

Relation: http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.364.4714; http://www.i3s.unice.fr/~precioso/documents/GPCP08.pdf

Verfügbarkeit: http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.364.4714
http://www.i3s.unice.fr/~precioso/documents/GPCP08.pdf

Characteristics of an emerging canine respiratory coronavirus in China.

Autoren: Ren, Yunxin Huang, Jian Chen, Xi et al.

Quelle: Veterinary Quarterly. Dec2025, Vol. 45 Issue 1, p1-18. 18p.

Nationwide emergence and spread of highly virulent PRRSV-2 mutants in Korea.

Autoren: Kim, Seung-Chai Kang, Sang Chul Kim, Hwan-Ju et al.

Quelle: Porcine Health Management. 11/11/2025, Vol. 11 Issue 1, p1-15. 15p.

Metatranscriptome analysis to unveil the molecular signatures of transcriptionally active pathogens associated with bovine mastitis.

Autoren: Naveenprasath, T. Ummat, Badeer Hassan Tarique, Farha et al.

Quelle: Frontiers in Veterinary Science. 2025, p1-16. 16p.

Beyond H37Rv: Mycobacterium tuberculosis pangenome structure and applications.

Autoren: Negrete-Paz, Andrea Monserrat Vázquez-Marrufo, Gerardo Vázquez-Garcidueñas, Ma. Soledad

Quelle: Frontiers in Microbiology; 2025, p1-16, 16p

Schlagwörter: MYCOBACTERIUM tuberculosis, PAN-genome, GENETIC variation, MACHINE learning, MICROBIAL virulence, DRUG resistance, TUBERCULOSIS, MOLECULAR epidemiology

How to 'alternatize' a clustering algorithm.

Autoren: Hossain, M. Ramakrishnan, Naren Davidson, Ian et al.

Quelle: Data Mining & Knowledge Discovery; Sep2013, Vol. 27 Issue 2, p193-224, 32p, 1 Color Photograph, 4 Diagrams, 5 Charts, 11 Graphs

Schlagwörter: SEARCH algorithms, VECTOR quantization, K-means clustering, DATA mining, DATA analysis

Multiple clusterings of heterogeneous information networks.

Autoren: Wei, Shaowei Yu, Guoxian Wang, Jun et al.

Quelle: Machine Learning; Jun2021, Vol. 110 Issue 6, p1505-1526, 22p

Schlagwörter: INFORMATION networks, SEMANTICS

Core genome expansion in Brevibacterium across marine provinces reveals genomic footprint for long-term marine adaptation.

Autoren: Sarkar, Jagannath

Quelle: Iranian Journal of Microbiology; Dec2025, Vol. 17 Issue 6, p912-928, 17p

A soft clustering technique with layered feature extraction for social image mining.

Autoren: Wazarkar, Seema Keshavamurthy, Bettahally N.

Quelle: Multimedia Tools & Applications; Jul2019, Vol. 78 Issue 14, p20333-20360, 28p

Schlagwörter: CLUSTERING algorithms, CLUSTER set theory, ROUGH sets, DEPRESSED persons, DATA mining

Antimicrobial susceptibility profiles of Escherichia coli isolates from domestic pigeons in Hungary.

Autoren: Kerek, Ádám Szabó, Ábel Jerzsele, Ákos

Quelle: Frontiers in Veterinary Science. 2025, p1-15. 15p.

Genomic prediction of symbiotic interactions between two Endozoicomonas clades and their coral host, Acropora loripes.

Autoren: Gotze, Cecilie R. Tandon, Kshitij Philip, Gayle K. et al.

Quelle: Animal Microbiome. 9/25/2025, Vol. 7 Issue 1, p1-22. 22p.

Non-negative matrix factorization for semi-supervised data clustering.

Autoren: Chen, Yanhua Rege, Manjeet Dong, Ming et al.

Quelle: Knowledge & Information Systems; Dec2008, Vol. 17 Issue 3, p355-379, 25p, 2 Diagrams, 9 Charts, 5 Graphs

Schlagwörter: DOCUMENT clustering, ALGORITHMS, FACTORIZATION, DATA, CLUSTER analysis (Statistics)

Assignment of structural domains in proteins using diffusion kernels on graphs.

Autoren: Taheri-Ledari, Mohammad Zandieh, Amirali Shariatpanahi, Seyed Peyman et al.

Quelle: BMC Bioinformatics; 9/8/2022, Vol. 23 Issue 1, p1-28, 28p

Schlagwörter: CYTOSKELETAL proteins, PROTEIN domains, DOMAIN decomposition methods, PROTEIN engineering, PROTEIN structure, CHARTS, diagrams, etc., KERNEL functions