Short-term charging load prediction study of electric vehicle charging stations based on K-Medoids clustering and multi-factor optimization decomposition. [PDF]
Sci RepLi H +5 more
europepmc +1 more source
A New Color Space Based on K-medoids Clustering for Fire Detection
, 2014 A New Color Space Based on K-medoids Clustering for Fire ...
Saeid Nahavandi (13086675) +3 more
core
Grouping Digital Health Apps Based on Their Quality and User Ratings Using K-Medoids Clustering: Cross-Sectional Study. [PDF]
JMIR Mhealth UhealthMarek Zych M +5 more
europepmc +1 more source
Automated sparse feature selection in high-dimensional proteomics data via 1-bit compressed sensing and K-Medoids clustering. [PDF]
BMC BioinformaticsWen F, Su Y, Liu D, Wang Y, Liu M.
europepmc +1 more source
Prediction of steelmaking process variables using K-medoids and a time-aware LSTM network. [PDF]
HeliyonZheng R, Bao Y, Zhao L, Xing L.
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
Detection of differences in physical symptoms between depressed and undepressed patients with breast cancer: a study using K-medoids clustering. [PDF]
BMC CancerTang J +9 more
europepmc +1 more source
Knowledge-constrained K-medoids Clustering of Regulatory Rare Alleles for Burden Tests. [PDF]
Evol Comput Mach Learn Data Min Bioinform, 2013 Sivley RM, Fish AE, Bush WS.
europepmc +1 more source
Comparative Analysis of Algorithms for Extracting Frames from Unexplored Regions in Molecular Dynamics Simulations. [PDF]
ACS OmegaNagare A +7 more
europepmc +1 more source
Face detection based on K-medoids clustering and associated with convolutional neural networks.
HeliyonRamadevi P, Das R.
europepmc +1 more source