Results 101 to 110 of about 4,729 (197)

Clustering and Characterization of the Lactation Curves of Dairy Cows Using K-Medoids Clustering Algorithm. [PDF]

Animals (Basel), 2020
Lee M, Lee S, Park J, Seo S.
europepmc   +1 more source

Unsupervised classification of eclipsing binary light curves through k-medoids clustering. [PDF]

J Appl Stat, 2020
Modak S, Chattopadhyay T, Chattopadhyay AK.   +2 more
europepmc   +1 more source

A new fast method for inferring multiple consensus trees using k-medoids. [PDF]

BMC Evol Biol, 2018
Tahiri N, Willems M, Makarenkov V.
europepmc   +1 more source

Social user geolocation based on K-medoids and Gaussian Kernel graph attention network. [PDF]

Sci Rep
Jiao A, Qiao Y, Li P, Ma J, Zhu S, Wei Q, Dong Q.   +6 more
europepmc   +1 more source

A Universal Probe Set for Targeted Sequencing of 353 Nuclear Genes from Any Flowering Plant Designed Using k-Medoids Clustering. [PDF]

Syst Biol, 2019
Johnson MG, Pokorny L, Dodsworth S, Botigué LR, Cowan RS, Devault A, Eiserhardt WL, Epitawalage N, Forest F, Kim JT, Leebens-Mack JH, Leitch IJ, Maurin O, Soltis DE, Soltis PS, Wong GK, Baker WJ, Wickett NJ.   +17 more
europepmc   +1 more source

Illuminating the Interface of Blocc Chemistry and Data Science: An Introduction to K‑Nearest Neighbor Analysis and K‑Medoids Clustering. [PDF]

J Chem Educ
Green NM, Putnam JLB, Hammond RI, Angello NH, Planey J, Brandt D, Martinez JA, Hummel T, Gunasekera B, Switzky R, Desmond S, Burke MD.   +11 more
europepmc   +1 more source

Short-term charging load prediction study of electric vehicle charging stations based on K-Medoids clustering and multi-factor optimization decomposition. [PDF]

Sci Rep
Li H, Tang M, Cao J, Yang T, Wang C, Jiang Y.   +5 more
europepmc   +1 more source

Grouping Digital Health Apps Based on Their Quality and User Ratings Using K-Medoids Clustering: Cross-Sectional Study. [PDF]

JMIR Mhealth Uhealth
Marek Zych M, Bond R, Mulvenna M, Bai L, Martinez-Carracedo J, Leigh S.   +5 more
europepmc   +1 more source

Alignment-free clustering of transcription factor binding motifs using a genetic-k-medoids approach. [PDF]

BMC Bioinformatics, 2015
Broin PÓ, Smith TJ, Golden AA.
europepmc   +1 more source

Automated sparse feature selection in high-dimensional proteomics data via 1-bit compressed sensing and K-Medoids clustering. [PDF]

BMC Bioinformatics
Wen F, Su Y, Liu D, Wang Y, Liu M.
europepmc   +1 more source