, 2023 The k-means clustering algorithm (k-means for short) provides a method offinding structure in input examples. It is also called the Lloyd–Forgy algorithm as it was independently introduced by both Stuart Lloyd and Edward Forgy. k-means, like other algorithms you will study in this part of the book, is an unsupervised learning algorithm and, as such ...
openaire +1 more source
Unlabeled but Not Unseen: Cytotoxicity Classification of Re(I) Tricarbonyl Complexes via K‑Means Clustering. [PDF]
ACS OmegaNedyalkova M +6 more
europepmc +1 more source
Clustering Analysis of Ankle-Brachial Index Related Metabolic and Body Composition Profiles Using K-Means Approach. [PDF]
Vasc Health Risk ManagKristianto H +7 more
europepmc +1 more source
Impact of dietary component clusters identified by K-means++ on renal function decline in a Taiwanese cohort. [PDF]
Ren FailTsai SF, Liu WJ, Lin YJ, Lee CL.
europepmc +1 more source
Enterprise service user intent prediction based on fast K-means++ fusion algorithm. [PDF]
PLoS OneHan Y, Zhai J, Li P.
europepmc +1 more source
K-Means Community Detection Algorithm Based on Density Peaks. [PDF]
Entropy (Basel)Gao H +7 more
europepmc +1 more source
Digital media pattern design compression and optimization method based on K-means clustering and LLE dimensionality reduction. [PDF]
PLoS OneLiu B, Zhou S, Sun J, Liu X, Lu W.
europepmc +1 more source
Modeling audio dynamics using hierarchical assisted K-means model for structured speaker profiling in TED talks. [PDF]
Sci RepRenukadevi MN +6 more
europepmc +1 more source
Optimized K-means algorithm for image segmentation based on improved dung beetle algorithm. [PDF]
Sci RepLi N, Luo Y, Feng Z, Qu H, Liu Z.
europepmc +1 more source
K-means and adaptive k-means algorithms for clustering DNS traffic [PDF]
Proceedings of the 5th International ICST Conference on Performance Evaluation Methodologies and Tools, 2011 Qinghui Xu +3 more
openaire +1 more source