Suchergebnisse - "Center-based clustering algorithms"

On efficient model selection for sparse hard and fuzzy center-based clustering algorithms

Autoren: Avisek Gupta Swagatam Das

Quelle: Information Sciences. 590:29-44

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

Chapter 9: Center-Based Clustering Algorithms

Quelle: Data Clustering: Theory, Algorithms, and Applications, Second Edition ISBN: 9781611976328

Comparison of the Performance of Center-Based Clustering Algorithms

Autoren: Bin Zhang

Quelle: Lecture Notes in Computer Science ISBN: 9783540047605

Zugangs-URL: https://rd.springer.com/chapter/10.1007%2F3-540-36175-8_7
https://link.springer.com/content/pdf/10.1007/3-540-36175-8_7.pdf
https://dblp.uni-trier.de/db/conf/pakdd/pakdd2003.html#Zhang03
https://dl.acm.org/doi/10.5555/1760894.1760905
https://link.springer.com/chapter/10.1007/3-540-36175-8_7

9. Center-Based Clustering Algorithms

Quelle: Data Clustering: Theory, Algorithms, and Applications ISBN: 9780898716238

Linear Speed-Up for a Parallel Non-Approximate Recasting of Center-Based Clustering Algorithms, including K-Means, K-Harmonic Means, and EM

Autoren: George Forman Bin Zhang K-harmonic Means et al.

Weitere Verfasser: George Forman Bin Zhang K-harmonic Means et al.

Quelle: http://www.hpl.hp.com/org/stl/dmsd/publications/ParaClusterSpeedup.pdf.

Schlagwörter: mining, very large databases, parallel algorithms, scale-up

Dateibeschreibung: application/pdf

Relation: http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.33.2937; http://www.hpl.hp.com/org/stl/dmsd/publications/ParaClusterSpeedup.pdf

Verfügbarkeit: http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.33.2937
http://www.hpl.hp.com/org/stl/dmsd/publications/ParaClusterSpeedup.pdf

Linear Speed-Up for a Para lelNon- Approximate Recasting of Center-Based Clustering Algorithms, including K-Means

Autoren: K-h Armonic Means George Forman Bin Zhang et al.

Weitere Verfasser: K-h Armonic Means George Forman Bin Zhang et al.

Quelle: http://www.hpl.hp.com/techreports/2000/HPL-2000-93.pdf.

Dateibeschreibung: application/pdf

Relation: http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.195.4368

Verfügbarkeit: http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.195.4368
http://www.hpl.hp.com/techreports/2000/HPL-2000-93.pdf

Applying a particle swarm optimizer controlled by a fuzzy logic controller in a multi-pivot means clustering algorithm.

Autoren: Xia, Xuewen Li, Minghan Song, Haojie et al.

Quelle: Applied Soft Computing. Jan2026:Part A, Vol. 186, pN.PAG-N.PAG. 1p.

Schlagwörter: Fuzzy clustering technique, Particle swarm optimization, Classification, Optimization algorithms, Clustering algorithms

How to optimize K-means?

Autoren: Li, Qi

Schlagwörter: FOS: Computer and information sciences, Computer Science - Machine Learning, Machine Learning (cs.LG)

Zugangs-URL: http://arxiv.org/abs/2503.19324

A Unified Framework for Center-based Clustering of Distributed Data

Autoren: Armacki, Aleksandar Bajović, Dragana Jakovetić, Dušan et al.

Index Begriffe: Computer Science - Machine Learning, Computer Science - Distributed, Parallel, and Cluster Computing, Computer Science - Multiagent Systems, text

URL: http://arxiv.org/abs/2402.01302

DISCERN: diversity-based selection of centroids for k-estimation and rapid non-stochastic clustering.

Autoren: Hassani, Ali Iranmanesh, Amir Eftekhari, Mahdi et al.

Quelle: International Journal of Machine Learning & Cybernetics; Mar2021, Vol. 12 Issue 3, p635-649, 15p

Quasi-opposition-based learning in a shuffled particle swarm optimization for solving frequency modulation sounds parameter identification problem.

Autoren: Ahandani, Morteza Alinia

Quelle: Evolutionary Intelligence; Oct2025, Vol. 18 Issue 5, p1-20, 20p

Bregman Power k-Means for Clustering Exponential Family Data

Autoren: Vellal, Adithya Chakraborty, Saptarshi Xu, Jason

Index Begriffe: Statistics - Machine Learning, Computer Science - Machine Learning, Mathematics - Statistics Theory, Statistics - Methodology, text

URL: http://arxiv.org/abs/2206.10860

Fair Clustering Using Antidote Data

Autoren: Chhabra, Anshuman Singla, Adish Mohapatra, Prasant

Index Begriffe: Computer Science - Machine Learning, text

URL: http://arxiv.org/abs/2106.00600

Aggregated center-based clustering algorithm based on principal component radius.

Autoren: Cheng, Mingchang Liu, Liu Ma, Tiefeng et al.

Quelle: Neurocomputing. Apr2025, Vol. 624, pN.PAG-N.PAG. 1p.

Schlagwörter: *CLUSTERING algorithms, *DATA distribution, *ALGORITHMS

Fair Algorithms for Hierarchical Agglomerative Clustering

Autoren: Chhabra, Anshuman Mohapatra, Prasant

Index Begriffe: Computer Science - Machine Learning, Statistics - Machine Learning, text

URL: http://arxiv.org/abs/2005.03197

DISCERN: Diversity-based Selection of Centroids for k-Estimation and Rapid Non-stochastic Clustering

Autoren: Hassani, Ali Iranmanesh, Amir Eftekhari, Mahdi et al.

Index Begriffe: Computer Science - Machine Learning, Statistics - Machine Learning, text

URL: http://arxiv.org/abs/1910.05933

A Unified Continuous Optimization Framework for Center-Based Clustering Methods.

Autoren: Teboulle, Marc¹ TEBOULLE@MATH.TAU.AC.IL

Quelle: Journal of Machine Learning Research. 1/1/2007, Vol. 8 Issue 1, p65-102. 38p.

Schlagwörter: *ALGORITHMS, *NONCONVEX programming, *NONSMOOTH optimization, *MATHEMATICAL optimization, *MACHINE learning

Central Clustering of Attributed Graphs.

Autoren: Brijnesh J. Jain Fritz Wysotzki

Quelle: Machine Learning; Jul2004, Vol. 56 Issue 1-3, p169-207, 39p

Natural neighbor-based clustering algorithm with local representatives.

Autoren: Dongdong Cheng Qingsheng Zhu Jinlong Huang et al.

Quelle: Knowledge-Based Systems. May2017, Vol. 123, p238-253. 16p.

Schlagwörter: *MANIFOLDS (Mathematics), *PICARD-Lefschetz theory, *ANALYTIC spaces, *COMPLEX manifolds, *ALGORITHMS

Hybrid data clustering approach using K-Means and Flower Pollination Algorithm

Autoren: Jensi, R. Jiji, G. Wiselin

Index Begriffe: Computer Science - Machine Learning, Computer Science - Information Retrieval, Computer Science - Neural and Evolutionary Computing, text

URL: http://arxiv.org/abs/1505.03236