Amanote Research
Register
Sign In
Figure 4: Bayesian Individual Assignment Implemented Using STRUCTURE for K = 2 Clusters (A), K = 3 Clusters (B) and K = 5 Clusters (C) Without Using Geographical Area as a Prior.
doi 10.7717/peerj.5152/fig-4
Full Text
Open PDF
Abstract
Available in
full text
Date
Unknown
Authors
Unknown
Publisher
PeerJ
Related search
Figure 6: Bayesian Clustering as Determined by STRUCTURE Analysis of Nuclear Microsatellite Data at K = 2 − 5. (A) Structure With K = 2; (B) Structure With K = 3; (C) Structure With K = 4; (D) Structure With K = 5.
Improved Macro-Clusters Generation Using Top-K Shared Micro-Clusters in Data Streams
International Journal of Advanced Research in Computer Science and Software Engineering
Figure S2: Plot of DIC Against the Number of K Clusters, and Tess Plots for K = 2 to K = 6
Figure 6: (A) Behavior of Accuracy in Terms of Number of Clusters and (B) Confusion Matrix With Best Results (Clusters = 11) Using K-Means Algorithm.
Supplemental Information 7: Raw Results of Fuzzy-Clustering Analyses for K = 4, 3, and 2 Clusters.
Estimating the Optimal Number of Clusters K in a Dataset Using Data Depth
Data Science and Engineering
Computational Mechanics
Computer Science Applications
Interior Melting of the C3B16 and C2B14− Clusters Between 1000 K and 2000 K
Condensed Matter
Comparing K-Means Clusters on Parallel Persian-English Corpus
Journal of Artificial Intelligence and Data Mining
Figure 3: Distribution of the K-Means Optimal Partition in 15 Clusters Along the Altitudinal Gradient.