<p>Clustering using the average linkage of the bsne components for insect galls (Claster “a”) and for host plants (cluster “b”) between sample plots located on eleven mountains—10 samples from each mountain.</p
<p>(A) Clustering based on low N traits (scaled) forms eight clusters, which are indicated by vertic...
The figure provides examples of using clusterExperiment to compare clustering methods and tuning par...
<p>K-means cluster analysis using the normalized average log 2 signal intensities from buds and node...
<p>Clustering using the average linkage of the bsimpson components for insect galls (Claster “a”) an...
Cluster analysis (Chord Distance; Ward Linkage) on Hellinger-transformed count data for 28 foraminif...
Clustering is rapidly becoming a powerful data mining technique, and has been broadly applied to man...
Disentangling the processes underlying geographic and environmental patterns of biodiversity challen...
Clusters were calculated using the CLOBB clustering algorithm [25]. The number of clusters (unigenes...
(A) Full network, based on all interactions (similar to most networks assembled from data combined a...
<p>Parameters are: a) ρ, the density of individuals within clusters; and b) σ, the mean cluster size...
<p>Complete linkage clustering based on Nei’s distance (cophenetic correlation = 0.92).</p
<p>Mean clustering coefficient for different values of <i>σ</i> (standard deviation of the dispersal...
Disentangling the processes underlying geographic and environmental patterns of biodiversity challen...
<p>The Ward linkage method was applied to the Bray–Curtis dissimilarity matrix calculated from frequ...
Two sets of simulated, randomly distributed, vegetation data of different complexity (3 and 50 speci...
<p>(A) Clustering based on low N traits (scaled) forms eight clusters, which are indicated by vertic...
The figure provides examples of using clusterExperiment to compare clustering methods and tuning par...
<p>K-means cluster analysis using the normalized average log 2 signal intensities from buds and node...
<p>Clustering using the average linkage of the bsimpson components for insect galls (Claster “a”) an...
Cluster analysis (Chord Distance; Ward Linkage) on Hellinger-transformed count data for 28 foraminif...
Clustering is rapidly becoming a powerful data mining technique, and has been broadly applied to man...
Disentangling the processes underlying geographic and environmental patterns of biodiversity challen...
Clusters were calculated using the CLOBB clustering algorithm [25]. The number of clusters (unigenes...
(A) Full network, based on all interactions (similar to most networks assembled from data combined a...
<p>Parameters are: a) ρ, the density of individuals within clusters; and b) σ, the mean cluster size...
<p>Complete linkage clustering based on Nei’s distance (cophenetic correlation = 0.92).</p
<p>Mean clustering coefficient for different values of <i>σ</i> (standard deviation of the dispersal...
Disentangling the processes underlying geographic and environmental patterns of biodiversity challen...
<p>The Ward linkage method was applied to the Bray–Curtis dissimilarity matrix calculated from frequ...
Two sets of simulated, randomly distributed, vegetation data of different complexity (3 and 50 speci...
<p>(A) Clustering based on low N traits (scaled) forms eight clusters, which are indicated by vertic...
The figure provides examples of using clusterExperiment to compare clustering methods and tuning par...
<p>K-means cluster analysis using the normalized average log 2 signal intensities from buds and node...