## Demo of dendrogram + heat map integrated with two more feature space
## projections: a scatter plot depicting the first two principal
## components of the data, and a "tour" projection (via the `tourr'
## package).
##
library(idendro) # idendro
library(cranvas) # qdata, qscatter, qparallel
library(tourr) # animate_xy
x <- flea[, 1:6]
# compute pairwise distances
dx <- dist(x)
# perform hierarchical clustering
hx <- hclust(dx)
# visualize clusters
qx <- idendro(hx, x, maxClusterCount = 6, doSmoothHeatmap = TRUE)
# compute PCA ...
x.pc <- prcomp(x, center=TRUE, scale. = TRUE)
qx$PC1 <- x.pc$x[, 1]
qx$PC2 <- x.pc$x[, 2]
# ... and show the first two principal components
print(qscatter(PC1, PC2, qx))
# now select some clusters in the dendrogram
# once you are done, run this code to visualize data on a tour plot:
#
# animate_xy(x,col=qx$.color)
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