Visual field prediction using K-means clustering in patients with primary open angle glaucoma. [PDF]
Int J OphthalmolLee J +7 more
europepmc +1 more source
Pediatric asthma population risk stratification using k-means clustering. [PDF]
J AsthmaRezaeiahari M +7 more
europepmc +1 more source
Monitoring the condition of city bus engines by analysing used oil using PCA and K-Means clustering. [PDF]
Sci RepDuarte MO +5 more
europepmc +1 more source
Classifying Cannabis sativa chemovars using K-means analysis of elemental composition. [PDF]
J Cannabis ResLukomski B.
europepmc +1 more source
Comparison of K-Means and Hierarchical Clustering Methods for Buffalo Milk Production Data. [PDF]
Animals (Basel)Trapanese L +5 more
europepmc +1 more source
K-means vs Mini Batch K-means: a comparison
, 2013 Mini Batch K-means (cite{Sculley2010}) has been proposed as an alternative to the K-means algorithm for clustering massive datasets. The advantage of this algorithm is to reduce the computational cost by not using all the dataset each iteration but a subsample of a fixed size.
openaire +1 more source
Correction: Application of PSO-integrated K-means algorithm in resident digital portrait classification. [PDF]
PLoS OnePLOS ONE Staff.
europepmc +1 more source
Energy-driven K-means-based LEACH routing protocol for enhanced lifetime in wireless sensor networks. [PDF]
Sci RepSaroit IA, Tarek D.
europepmc +1 more source
Federated k-means based on clusters backbone. [PDF]
PLoS OneDeng Z, Wang Y, Alobaedy MM.
europepmc +1 more source
Optimizing spatial equity of urban park cooling services: Integrating landscape metrics with K-means and PSO algorithms in Nanchang, China. [PDF]
PLoS OneZhao Y, Pinyi L, Peng G, Ping ZJ.
europepmc +1 more source