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R: "Face-shaped" clustered benchmark datasets
...Generates "face-shaped" clustered benchmark datasets. This is based on a collaboration with Martin Maechler. Usage rFace(n, p = 6, nrep.top = 2, smile.coef = 0.6, dMoNo = 1.2, dNoEy = 1) Arguments n...
/CRAN/refmans/fpc/html/rFace.html
cran-help matching:
rFace and rFace |
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R: Discriminant coordinates/canonical variates
...Discriminant coordinates/canonical variates Description Computes discriminant coordinates, sometimes referred to as "canonical variates" as described in Seber (1984). Usage discrcoord(xd, clvecd, pool...
/CRAN/refmans/fpc/html/discrcoord.html
cran-help matching:
rFace |
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R: Mean/variance differences discriminant coordinates
mvdcoord {fpc} R Documentation Mean/variance differences discriminant coordinates Description Discriminant projections as defined in Young, Marco and Odell (1987). The principle is to maximize...
/CRAN/refmans/fpc/html/mvdcoord.html
cran-help matching:
rFace |
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R: Asymmetric discriminant coordinates
...Hennig (2003). Asymmetric discriminant projection means that there are two classes, one of which is treated as the homogeneous class (i.e., it should appear homogeneous and separated in the resulting...
/CRAN/refmans/fpc/html/adcoord.html
cran-help matching:
rFace |
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R: Asymmetric neighborhood based discriminant coordinates
...neighborhood based discriminant coordinates as defined in Hennig (2003). Asymmetric discriminant projection means that there are two classes, one of which is treated as the homogeneous class (i.e., it...
/CRAN/refmans/fpc/html/ancoord.html
cran-help matching:
rFace |
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R: Neighborhood based discriminant coordinates
...which is defined by averaging the between classes covariance matrices in the neighborhoods of all points. Usage ncoord(xd, clvecd, nn=50, weighted=FALSE, sphere="mcd", orderall=TRUE, countmode=1000, ...
/CRAN/refmans/fpc/html/ncoord.html
cran-help matching:
rFace |
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R: Bhattacharyya discriminant projection
...Computes Bhattacharyya discriminant projection coordinates as described in Fukunaga (1990), p. 455 ff. Usage batcoord(xd, clvecd, clnum=1, dom="mean") batvarcoord(xd, clvecd, clnum=1) Arguments xd...
/CRAN/refmans/fpc/html/batcoord.html
cran-help matching:
rFace |
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R: Asymmetric weighted discriminant coordinates
...Asymmetric weighted discriminant coordinates as defined in Hennig (2003). Asymmetric discriminant projection means that there are two classes, one of which is treated as the homogeneous class (i.e...
/CRAN/refmans/fpc/html/awcoord.html
cran-help matching:
rFace |
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R: Linear dimension reduction for classification
...An interface for ten methods of linear dimension reduction in order to separate the groups optimally in the projected data. Includes classical discriminant coordinates, methods to project differences...
/CRAN/refmans/fpc/html/discrproj.html
cran-help matching:
rFace |
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R: Stupid average dissimilarity random clustering
...any already existing cluster is assigned to that cluster, until all points are assigned. This is a random versione of average linkage clustering, see Akhanli and Hennig (2020). Usage stupidkaven(d,k)...
/CRAN/refmans/fpc/html/stupidkaven.html
cran-help matching:
rFace |
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R: Discriminant projection plot.
...Plots to distinguish given classes by ten available projection methods. Includes classical discriminant coordinates, methods to project differences in mean and covariance structure, asymmetric methods...
/CRAN/refmans/fpc/html/plotcluster.html
cran-help matching:
rFace |
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R: Stupid farthest neighbour random clustering
stupidkfn {fpc} R Documentation Stupid farthest neighbour random clustering Description Picks k random starting points from given dataset to initialise k clusters. Then, one by one, a point not yet...
/CRAN/refmans/fpc/html/stupidkfn.html
cran-help matching:
rFace |
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R: Stupid nearest neighbour random clustering
stupidknn {fpc} R Documentation Stupid nearest neighbour random clustering Description Picks k random starting points from given dataset to initialise k clusters. Then, one by one, the point not yet...
/CRAN/refmans/fpc/html/stupidknn.html
cran-help matching:
rFace |
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R: Mahalanobis fixed point clusters initial configuration
...Generates an initial configuration of startn points from dataset x for the fixmahal fixed point iteration. Thought only for use within fixmahal. Usage mahalconf(x, no, startn, covall, plot) Arguments...
/CRAN/refmans/fpc/html/mahalconf.html
cran-help matching:
rFace |
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R: Stupid k-centroids random clustering
...Picks k random centroids from given dataset and assigns every point to closest centroid. This is called stupid k-centroids in Hennig (2019). Usage stupidkcentroids(xdata, k, distances = inherits(xdata...
/CRAN/refmans/fpc/html/stupidkcentroids.html
cran-help matching:
rFace |
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R: Distance based validity criteria for large data sets
...of Hubert's gamma criterion by hacking the dataset into pieces and averaging the subset-wise values, see Hennig and Liao (2013). Usage distcritmulti(x,clustering,part=NULL,ns=10,criterion="asw", fun...
/CRAN/refmans/fpc/html/distcritmulti.html
cran-help matching:
rFace |
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R: k-means with estimating k and initialisations
...of empty clusters in the algorithm and it estimates the number of clusters by either the Calinski Harabasz index (calinhara) or average silhouette width (see pam.object). The Duda-Hart test (dudahart2) ...
/CRAN/refmans/fpc/html/kmeansruns.html
cran-help matching:
rFace |
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R: Similarity of within-cluster distributions to normal and...
...distances to the center and a chi-squared distribution. For the uniform it is the Kolmogorov distance between the distance to the kth nearest neighbour and a Gamma distribution (this is based on Byers ...
/CRAN/refmans/fpc/html/distrsimilarity.html
cran-help matching:
rFace |
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R: Standardise cluster validation statistics by random...
...aim is to make differences between values comparable between indexes, see Hennig (2019), Akhanli and Hennig (2020). This is mainly for use within clusterbenchstats. Usage cgrestandard(clusum,clusim,G...
/CRAN/refmans/fpc/html/cgrestandard.html
cran-help matching:
rFace |
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R: Mahalanobis Fixed Point Clusters
FPCs may overlap, are not necessarily exhausting and do not need a specification of the number of clusters. Note that while fixmahal has lots of parameters, only one (or few) of them have usually...
/CRAN/refmans/fpc/html/fixmahal.html
cran-help matching:
rFace |
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R: Selection of the number of clusters via bootstrap
...chosen by optimising an instability estimation from these pairs. In principle all clustering methods can be used that have a CBI-wrapper, see clusterboot, kmeansCBI. However, the currently implemented...
/CRAN/refmans/fpc/html/nselectboot.html
cran-help matching:
rFace |
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R: Run many clustering methods on many numbers of clusters
...cluster.magazine(data,G,diss = inherits(data, "dist"), scaling=TRUE, clustermethod, distmethod=rep(TRUE,length(clustermethod)), ncinput=rep(TRUE,length(clustermethod)), clustermethodpars, trace=TRUE)...
/CRAN/refmans/fpc/html/cluster.magazine.html
cran-help matching:
rFace |
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R: Partitioning around medoids with estimation of number of...
...by optimum average silhouette width (see pam.object) or Calinski-Harabasz index (calinhara). The Duda-Hart test (dudahart2) is applied to decide whether there should be more than one cluster (unless 1...
/CRAN/refmans/fpc/html/pamk.html
cran-help matching:
rFace |
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R: Simulation of validity indexes based on random clusterings
...every clustering. Usage randomclustersim(datadist,datanp=NULL,npstats=FALSE,useboot=FALSE, bootmethod="nselectboot", bootruns=25, G,nnruns=100,kmruns=100,fnruns=100,avenruns=100, nnk=4,dnnk=2, pamcrit...
/CRAN/refmans/fpc/html/randomclustersim.html
cran-help matching:
rFace |
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R: Compute and format cluster validation statistics
...clustatsum computes cluster validation statistics by running cqcluster.stats, and potentially distrsimilarity, and collecting some key statistics values with a somewhat different nomenclature. This...
/CRAN/refmans/fpc/html/clustatsum.html
cran-help matching:
rFace |
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R: Simulation-standardised plot and print of cluster validation...
...validation index. Unlike for many other plot methods, the additional arguments of plot.valstat are essential. print.valstat should make good sense with the defaults, but for computing the aggregate ...
/CRAN/refmans/fpc/html/plot.valstat.html
cran-help matching:
rFace |
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R: Flexible Procedures for Clustering
...A B C D E F H I J K L M N P R S T U V W X Z fpc-package fpc package overview -- A -- adcoord Asymmetric discriminant coordinates ancoord Asymmetric neighborhood based discriminant coordinates awcoord...
/CRAN/refmans/fpc/html/00Index.html
cran-help matching:
rFace |
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R: Cluster validation statistics
...clusters, cluster separation, biggest within cluster gap, average silhouette widths, the Calinski and Harabasz index, a Pearson version of Hubert's gamma coefficient, the Dunn index and two indexes ...
/CRAN/refmans/fpc/html/cluster.stats.html
cran-help matching:
rFace |
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R: Run and validate many clusterings
...(CBI-functions, see kmeansCBI) with several numbers of clusters on a dataset, and computes many cluster validation indexes. In order to explore the variation of these indexes, random clusterings on...
/CRAN/refmans/fpc/html/clusterbenchstats.html
cran-help matching:
rFace |
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R: Interface functions for clustering methods
..."CBI" stands for "clusterboot interface"). In some situations it could make sense to use them to compute a clustering even if you don't want to run clusterboot, because some of the functions contain...
/CRAN/refmans/fpc/html/kmeansCBI.html
cran-help matching:
rFace |
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R: Clusterwise cluster stability assessment by resampling
...resampled using several schemes (bootstrap, subsetting, jittering, replacement of points by noise) and the Jaccard similarities of the original clusters to the most similar clusters in the resampled...
/CRAN/refmans/fpc/html/clusterboot.html
cran-help matching:
rFace |
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R: Cluster validation statistics (version for use with...
...validation, comparison between clusterings and decision about the number of clusters: cluster sizes, cluster diameters, average distances within and between clusters, cluster separation, biggest...
/CRAN/refmans/fpc/html/cqcluster.stats.html
cran-help matching:
rFace |