Results 151 to 160 of about 17,769,086 (225)

Data-Driven Classification of Solubility Space in Deep Eutectic Solvents: Deciphering Driving Forces Using PCA and K-Means Clustering. [PDF]

Molecules
Cysewski P, Przybyłek M, Jeliński T.
europepmc   +1 more source

Hybrid wavelet transform, K-means singular value decomposition and Spatial memory guided cat swarm optimization technique for watermark embedding. [PDF]

Sci Rep
Sharma C, Dhillon A, Prashar D, Khan AA, Ali F, AlZubi AA.   +5 more
europepmc   +1 more source

Smart defense based on explainable stacked machine learning architecture for securing internet of health things with K-means clustering. [PDF]

Sci Rep
Saba T, Rehman A, Mujahid M, Al-Rasheed A, Al-Otaibi S, Yousif A.   +5 more
europepmc   +1 more source

Preoperative Gait Speed as a Predictor of Patient-Reported Outcomes After Total Hip Arthroplasty: Insights from Patient Acceptable Symptom State and K-Means Clustering Analyses. [PDF]

J Bone Joint Surg Am
Nakao Y, Hamai S, Yamate S, Konishi T, Kawahara S, Motomura G, Utsunomiya T, Nakashima Y.   +7 more
europepmc   +1 more source

Distributed K-Means algorithm based on a Spark optimization sample. [PDF]

PLoS One
Feng Y, Zou J, Liu W, Lv F.
europepmc   +1 more source

An Effective Approach to Mass Spectrometry Imaging Data Partitioning Using UMAP and k-Means Clustering. [PDF]

Mass Spectrom (Tokyo)
Yamaguchi S, Ikegawa M.
europepmc   +1 more source

Segmentation of partial least squares structural equation modelling using kernel K-means clustering (PLS SEM KKC). [PDF]

MethodsX
Astuti CC, Otok BW, Andari S.
europepmc   +1 more source

Impact of distance measures in adaptive K-means clustering on load profiles and spatial patterns of distributed substations in Thailand. [PDF]

Sci Rep
Prompook T, Jittanon S, Phumeesut K, Termritthikun C, Ketjoy N, Chamsa-Ard W, Meesuk N, Madtharad C, Suriwong T.   +8 more
europepmc   +1 more source

Image tampering detection using dynamic histogram equalization based LIOP features and novel scaled K-means +  + clustering. [PDF]

Sci Rep
Mehmood Z, Bilal M, Munshi A, Cheema AM, Rashid J, Kim J.   +5 more
europepmc   +1 more source

Reducing annotation effort in agricultural data: simple and fast unsupervised coreset selection with DINOv2 and K-means. [PDF]

Front Plant Sci
Gómez-Zamanillo L, Portilla N, Picón A, Egusquiza I, Navarra-Mestre R, Elola A, Bereciartua-Perez A.   +6 more
europepmc   +1 more source