GMD-package
(Package: GMD) :
The Package for Generalized Minimum Distance (GMD) Computation
Computate Generalized Minimum Distance (GMD) between discrete distributions and clustering tools
● Data Source:
CranContrib
● Keywords: package
● Alias: GMD, GMD-package
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0 images
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gmdp
(Package: GMD) :
Generalized Minimum Distance between a pair of distributions
Generalized Minimum Distance between a pair of distributions
● Data Source:
CranContrib
● Keywords: classes
● Alias: gmdp, print.gmdp, summary.gmdp
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0 images
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heatmap.3
(Package: GMD) :
Enhanced Heatmap Representation with Dendrogram and Partition
Enhanced heatmap representation with dendrograms and partition given the elbow criterion or a desired number of clusters.
1) a dendrogram added to the left side and to the top, according to cluster analysis;
2) partitions in highlighted rectangles, according to the "elbow" rule or a desired number of clusters.
● Data Source:
CranContrib
● Keywords:
● Alias: heatmap.3
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0 images
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legend
(Package: GMD) :
Add Legends to Plots
This function can be used to add legends to plots. Note that a call to the function locator(1) can be used in place of the x and y arguments.
● Data Source:
CranContrib
● Keywords:
● Alias: legend
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0 images
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css
(Package: GMD) :
Clustering Sum-of-Squares for clustering evaluation
Evaluation on the varaince of a clustering model using squared Euclidean distances, based on distance matrix and cluster membership.
● Data Source:
CranContrib
● Keywords:
● Alias: css, css.hclust
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0 images
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mhist.summary
(Package: GMD) :
Bin-wise summary of histograms
Bin-wise summary of a mhist object of histograms
● Data Source:
CranContrib
● Keywords:
● Alias: mhist.summary, plot.mhist.summary
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0 images
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bedgraph.to.depth
(Package: GMD) :
Convert a BedGraph fiel to a vector of depth-like signals
Convert a BedGraph fiel to a vector of depth-like signals
● Data Source:
CranContrib
● Keywords:
● Alias: bedgraph.to.depth
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0 images
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ts2df
(Package: GMD) :
Convert time series to data frame
A copy of wq:::ts2df; see ts2df in package:wq for details
● Data Source:
CranContrib
● Keywords:
● Alias: ts2df
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0 images
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elbow
(Package: GMD) :
The "Elbow" Method for Clustering Evaluation
Determining the number of clusters in a data set by the "elbow" rule.
● Data Source:
CranContrib
● Keywords:
● Alias: elbow, elbow.batch, plot.elbow
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1 images
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plot.mhist
(Package: GMD) :
S3 method for class `mhist'.
S3 method for class mhist
● Data Source:
CranContrib
● Keywords: hplot, methods
● Alias: plot.mhist
●
2 images
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