Various EDA Topics Hierarchical Clustering
| Summary of compuational transaction | |
| Raw Input | view raw input (R code) |
| Raw Output | view raw output of R engine |
| Computing time | 3 seconds |
| R Server | 'Herman Ole Andreas Wold' @ 193.190.124.10:1001 |
| Summary of Dendrogram | |
| Label | Height |
| 1 | 0.130766968306223 |
| 2 | 0.171755640373177 |
| 3 | 0.178325545001261 |
| 4 | 0.194935886896180 |
| 5 | 0.203469899493762 |
| 6 | 0.238746727726265 |
| 7 | 0.255734237050882 |
| 8 | 0.276043474836846 |
| 9 | 0.293768616431372 |
| 10 | 0.303973683071421 |
| 11 | 0.304959013639532 |
| 12 | 0.311929479209639 |
| 13 | 0.316543835826895 |
| 14 | 0.330302891298271 |
| 15 | 0.351852241715181 |
| 16 | 0.351994318135959 |
| 17 | 0.364828726939084 |
| 18 | 0.369052841744922 |
| 19 | 0.372692903071683 |
| 20 | 0.373229152130431 |
| 21 | 0.378153408023786 |
| 22 | 0.387405069332897 |
| 23 | 0.393446311458127 |
| 24 | 0.397240481320821 |
| 25 | 0.404969134626328 |
| 26 | 0.411946598480926 |
| 27 | 0.429185274677503 |
| 28 | 0.431277173056959 |
| 29 | 0.436004587131837 |
| 30 | 0.449666543118341 |
| 31 | 0.451774279923069 |
| 32 | 0.462817458616243 |
| 33 | 0.478852795752521 |
| 34 | 0.487783318313371 |
| 35 | 0.508559886434628 |
| 36 | 0.51180233932589 |
| 37 | 0.517637330584877 |
| 38 | 0.524118307255142 |
| 39 | 0.56091018857521 |
| 40 | 0.573166176263019 |
| 41 | 0.588047617119556 |
| 42 | 0.614766282981192 |
| 43 | 0.647604054609399 |
| 44 | 0.65849585917573 |
| 45 | 0.677551375494143 |
| 46 | 0.717601896939927 |
| 47 | 0.765963445602991 |
| 48 | 0.769510210727266 |
| 49 | 0.786826540521206 |
| 50 | 0.8018896622614 |
| 51 | 0.808073761768816 |
| 52 | 0.830651362061792 |
| 53 | 0.873784870548815 |
| 54 | 0.917962496264222 |
| 55 | 0.952723367665576 |
| 56 | 0.961652972325255 |
| 57 | 0.962849556545336 |
| 58 | 0.97286865387 |
| 59 | 0.992305849553476 |
| 60 | 1.18760587778932 |
| 61 | 1.25763507628243 |
| 62 | 1.31707788529777 |
| 63 | 1.34443918446295 |
| 64 | 1.36923593597606 |
| 65 | 1.41470282977280 |
| 66 | 1.42941643411828 |
| 67 | 1.52937803354863 |
| 68 | 1.58440913836598 |
| 69 | 1.60538874416135 |
| 70 | 1.68784639877682 |
| 71 | 1.85468098568693 |
| 72 | 2.09496903749675 |
| 73 | 2.19045739986997 |
| 74 | 2.39695347159423 |
| 75 | 2.45638699762216 |
| 76 | 2.85945517230632 |
| 77 | 2.87132856814416 |
| 78 | 3.74449652002009 |
| 79 | 4.60316542400409 |
| 80 | 5.11048099530347 |
| 81 | 6.14028005209879 |
| 82 | 6.18512306326494 |
| 83 | 7.54924490825187 |
| 84 | 8.6510723223087 |
| 85 | 8.79775785636548 |
| 86 | 20.6690647872988 |
| 87 | 24.7131488139645 |
| 88 | 28.6642567954587 |
| 89 | 59.7307523786856 |
| 90 | 71.8583966588585 |
| 91 | 157.16024566812 |
| 92 | 411.100644802032 |
 |
| http://127.0.0.1/wessadotnet/public_html/freestatisticsdotorg/blog/date/2007/Nov/03/faq28xfcx3do9361194084028/1e65u1194084092.png (open in new window) |
| http://127.0.0.1/wessadotnet/public_html/freestatisticsdotorg/blog/date/2007/Nov/03/faq28xfcx3do9361194084028/1e65u1194084092.ps (open in new window) |
par4 <- as.logical(par4)
if (par3 == 'TRUE'){
dum = xlab
xlab = ylab
ylab = dum
}
x <- t(y)
hc <- hclust(dist(x),method=par1)
d <- as.dendrogram(hc)
str(d)
mysub <- paste('Method: ',par1)
bitmap(file='test1.png')
if (par4 == 'TRUE'){
plot(d,main=main,ylab=ylab,xlab=xlab,horiz=par3, nodePar=list(pch = c(1,NA), cex=0.8, lab.cex = 0.8),type='t',center=T, sub=mysub)
} else {
plot(d,main=main,ylab=ylab,xlab=xlab,horiz=par3, nodePar=list(pch = c(1,NA), cex=0.8, lab.cex = 0.8), sub=mysub)
}
dev.off()
if (par2 != 'ALL'){
if (par3 == 'TRUE'){
ylab = 'cluster'
} else {
xlab = 'cluster'
}
par2 <- as.numeric(par2)
memb <- cutree(hc, k = par2)
cent <- NULL
for(k in 1:par2){
cent <- rbind(cent, colMeans(x[memb == k, , drop = FALSE]))
}
hc1 <- hclust(dist(cent),method=par1, members = table(memb))
de <- as.dendrogram(hc1)
bitmap(file='test2.png')
if (par4 == 'TRUE'){
plot(de,main=main,ylab=ylab,xlab=xlab,horiz=par3, nodePar=list(pch = c(1,NA), cex=0.8, lab.cex = 0.8),type='t',center=T, sub=mysub)
} else {
plot(de,main=main,ylab=ylab,xlab=xlab,horiz=par3, nodePar=list(pch = c(1,NA), cex=0.8, lab.cex = 0.8), sub=mysub)
}
dev.off()
str(de)
}
load(file='createtable')
a<-table.start()
a<-table.row.start(a)
a<-table.element(a,'Summary of Dendrogram',2,TRUE)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'Label',header=TRUE)
a<-table.element(a,'Height',header=TRUE)
a<-table.row.end(a)
num <- length(x[,1])-1
for (i in 1:num)
{
a<-table.row.start(a)
a<-table.element(a,hc$labels[i])
a<-table.element(a,hc$height[i])
a<-table.row.end(a)
}
a<-table.end(a)
table.save(a,file='mytable1.tab')
if (par2 != 'ALL'){
a<-table.start()
a<-table.row.start(a)
a<-table.element(a,'Summary of Cut Dendrogram',2,TRUE)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'Label',header=TRUE)
a<-table.element(a,'Height',header=TRUE)
a<-table.row.end(a)
num <- par2-1
for (i in 1:num)
{
a<-table.row.start(a)
a<-table.element(a,i)
a<-table.element(a,hc1$height[i])
a<-table.row.end(a)
}
a<-table.end(a)
table.save(a,file='mytable2.tab')
}
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