Ordinate: log p value; abscissa: number of clusters sorted according the computed similarity means.<p><b>Copyright information:</b></p><p>Taken from "Discovering multi–level structures in bio-molecular data through the Bernstein inequality"</p><p>http://www.biomedcentral.com/1471-2105/9/S2/S4</p><p>BMC Bioinformatics 2008;9(Suppl 2):S4-S4.</p><p>Published online 26 Mar 2008</p><p>PMCID:PMC2323667.</p><p></p
<p>A. Hierarchical clustering for the normalized data. Biological replicate samples cluster closely ...
<p><b>Copyright information:</b></p><p>Taken from "Selection of informative clusters from hierarchic...
<p>Quantitative differences between clustering methods.</p> <p>A. Differences in total OTU counts wh...
Ordinate: log p value; abscissa: number of clusters sorted according the computed similarity means.<...
Cluster analysis characterizes data that are similar enough and useful into meaningful groups (clust...
Cluster analysis characterizes data that are similar enough and useful into meaningful groups (clust...
<p>(A) Pearson correlation and (B) Euclidean distance as distance measure. Each line represents a ge...
<p>Euclidean; raw values. <i>v</i>; <i>p</i>(<i>I</i>)-adic <i>v</i> values. Horizontal axis: the ra...
<p>*p < 0.05, represents the signature is significantly related to outcomes</p><p>#0.05</p><p>Size: ...
The K-means clustering algorithm is an old algorithm that has been intensely researched owing to its...
<p>The species are ordered according to their phylogenetic relationships as shown on the left. For e...
<p><i>k</i>-means clustering: Clusters distribution for <i>k</i> = 160 with overlapping technique.</...
<p>Differences in cluster composition between methods across wide threshold ranges. A global data se...
<p><b>Copyright information:</b></p><p>Taken from "Model order selection for bio-molecular data clus...
<p>Clustering results of different methods on Caltech101-7 data set. (mean(± std)).</p
<p>A. Hierarchical clustering for the normalized data. Biological replicate samples cluster closely ...
<p><b>Copyright information:</b></p><p>Taken from "Selection of informative clusters from hierarchic...
<p>Quantitative differences between clustering methods.</p> <p>A. Differences in total OTU counts wh...
Ordinate: log p value; abscissa: number of clusters sorted according the computed similarity means.<...
Cluster analysis characterizes data that are similar enough and useful into meaningful groups (clust...
Cluster analysis characterizes data that are similar enough and useful into meaningful groups (clust...
<p>(A) Pearson correlation and (B) Euclidean distance as distance measure. Each line represents a ge...
<p>Euclidean; raw values. <i>v</i>; <i>p</i>(<i>I</i>)-adic <i>v</i> values. Horizontal axis: the ra...
<p>*p < 0.05, represents the signature is significantly related to outcomes</p><p>#0.05</p><p>Size: ...
The K-means clustering algorithm is an old algorithm that has been intensely researched owing to its...
<p>The species are ordered according to their phylogenetic relationships as shown on the left. For e...
<p><i>k</i>-means clustering: Clusters distribution for <i>k</i> = 160 with overlapping technique.</...
<p>Differences in cluster composition between methods across wide threshold ranges. A global data se...
<p><b>Copyright information:</b></p><p>Taken from "Model order selection for bio-molecular data clus...
<p>Clustering results of different methods on Caltech101-7 data set. (mean(± std)).</p
<p>A. Hierarchical clustering for the normalized data. Biological replicate samples cluster closely ...
<p><b>Copyright information:</b></p><p>Taken from "Selection of informative clusters from hierarchic...
<p>Quantitative differences between clustering methods.</p> <p>A. Differences in total OTU counts wh...