FADPsummary: Summary of FADPclust

In FADPclust: Functional Data Clustering Using Adaptive Density Peak Detection

Summary of FADPclust

Description

Summarize the result obetained from the FADPclust() function.

Usage

FADPsummary(object)

Arguments

object

object of class 'FADPclust' that is returned from FADPclust().

See Also

FADPclust, FADPplot.

Examples

###univariate functional data
data("simData1")
plot(simData1, xlab = "x", ylab = "y")
FADP1.ans <- FADPclust(fdata = simData1, cluster = 2:5, method = "FADP1",
                       proportion = seq(0.02, 0.2, 0.02), f.cut = 0.15,
                       stats = "Avg.silhouette")
FADPsummary(FADP1.ans); FADPplot(FADP1.ans)

FADP2.ans <- FADPclust(fdata = simData1, cluster = 2:5, method = "FADP2",
                       proportion = seq(0.02, 0.2, 0.02), f.cut = 0.15,
                       pve = 0.9, stats = "Avg.silhouette")
FADPsummary(FADP2.ans); FADPplot(FADP2.ans)

###multivariate functional data
data("simData2")
FADP1.ans <- FADPclust(fdata = simData2, cluster = 2:5, method = "FADP1",
                       proportion = seq(0.02, 0.2, 0.02), f.cut = 0.15,
                       pve = 0.9, stats = "Avg.silhouette")
FADPsummary(FADP1.ans); FADPplot(FADP1.ans)

FADP2.ans <- FADPclust(fdata = simData2, cluster = 2:5, method = "FADP2",
                       proportion = seq(0.02, 0.2, 0.02), f.cut = 0.15,
                       pve = 0.9, stats = "Avg.silhouette")
FADPsummary(FADP2.ans); FADPplot(FADP2.ans)

FADPclust documentation built on Nov. 10, 2022, 5:52 p.m.