Hierarchical Modal Clustering

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Documentation for package ‘Modalclust’ version 0.7

Help Pages

choose.cluster Choosing the cluster which is closest to a specified point
contour Plot clusters with different colors for two dimensional data overlayed on the contours of the original data.
contour.hmac Plot clusters with different colors for two dimensional data overlayed on the contours of the original data.
cta20 Two dimensional data in original and log scale
cta20.hmac Two dimensional data in original and log scale
disc2d Two and three dimensional data representing two half discs
disc2d.hmac Two and three dimensional data representing two half discs
disc3d Two and three dimensional data representing two half discs
disc3d.hmac Two and three dimensional data representing two half discs
dmvnorm Calculate Density of Multivariate Normal for diagonal covariance
findmid Find the mid point of memberships of each cluster
hard.hmac Plot clusters with different colors.
hmac Perform Modal Clustering in serial mode only
khat Calculate the smoothing paramters for implementation of Modal Clustering.
khat.inv Calculate the smoothing paramters for implementation of Modal Clustering.
logcta20 Two dimensional data in original and log scale
logcta20.hmac Two dimensional data in original and log scale
modalclust Main function for performing Modal Clusters either parallel or serial mode.
mydmvnorm Calculate Density of Multivariate Normal for diagonal covariance
oned One dimensional data with two main clusters
oned.hmac One dimensional data with two main clusters
phmac Main function for performing Modal Clusters either parallel or serial mode.
plot Plots of heierarchical tree for a 'hmac' object
plot.hmac Plots of heierarchical tree for a 'hmac' object
sdofnorm Calculate the smoothing paramters for implementation of Modal Clustering.
soft.hmac Plot soft clusters from Modal Clustering output
summary Summary of HMAC output
summary.hmac Summary of HMAC output