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 | 0.063245553203373 |
| 2 | 0.0670820393249962 |
| 3 | 0.086023252670419 |
| 4 | 0.0999999999999943 |
| 5 | 0.102956301409872 |
| 6 | 0.116619037896895 |
| 7 | 0.120415945787934 |
| 8 | 0.126650868187536 |
| 9 | 0.130000000000003 |
| 10 | 0.142126704035512 |
| 11 | 0.143178210632764 |
| 12 | 0.158113883008409 |
| 13 | 0.161245154965969 |
| 14 | 0.164012194668571 |
| 15 | 0.164924225024701 |
| 16 | 0.165278439935261 |
| 17 | 0.170293863659271 |
| 18 | 0.174642491965733 |
| 19 | 0.181107702762742 |
| 20 | 0.183575597506857 |
| 21 | 0.186010752377387 |
| 22 | 0.189999999999998 |
| 23 | 0.210950231097283 |
| 24 | 0.212132034355958 |
| 25 | 0.212132034355958 |
| 26 | 0.235047663892992 |
| 27 | 0.236008474424117 |
| 28 | 0.244131112314665 |
| 29 | 0.274590604354926 |
| 30 | 0.289745145216333 |
| 31 | 0.296816441593122 |
| 32 | 0.304795013082548 |
| 33 | 0.317804971641415 |
| 34 | 0.334784843081509 |
| 35 | 0.341320963317524 |
| 36 | 0.343656805548795 |
| 37 | 0.34785054261852 |
| 38 | 0.354371665037033 |
| 39 | 0.362256119977821 |
| 40 | 0.363959365633199 |
| 41 | 0.371214223865411 |
| 42 | 0.390512483795329 |
| 43 | 0.390512483795331 |
| 44 | 0.40374694231074 |
| 45 | 0.407062648740951 |
| 46 | 0.437502082090671 |
| 47 | 0.443121070663148 |
| 48 | 0.453106573159609 |
| 49 | 0.484675971534773 |
| 50 | 0.509214307897991 |
| 51 | 0.524776659175604 |
| 52 | 0.543378596817514 |
| 53 | 0.559968940601683 |
| 54 | 0.605316175363119 |
| 55 | 0.628234391642539 |
| 56 | 0.664972401614968 |
| 57 | 0.665951185891483 |
| 58 | 0.714675097030582 |
| 59 | 0.721536298848718 |
| 60 | 0.811517913272425 |
| 61 | 0.818358155793065 |
| 62 | 0.866399444368576 |
| 63 | 0.888568669218987 |
| 64 | 0.926908385321833 |
| 65 | 0.979888426356614 |
| 66 | 1.03552088157909 |
| 67 | 1.05310076238921 |
| 68 | 1.10701492515719 |
| 69 | 1.17018878536878 |
| 70 | 1.17243257087961 |
| 71 | 1.31294766347337 |
| 72 | 1.35241541205089 |
| 73 | 1.37462788554990 |
| 74 | 1.43265384249911 |
| 75 | 1.66350103596556 |
| 76 | 2.03059970779384 |
| 77 | 2.12096292350091 |
| 78 | 3.07053375170148 |
| 79 | 3.40164602727794 |
| 80 | 3.65411589680255 |
| 81 | 4.73121690188116 |
| 82 | 5.15282899369973 |
| 83 | 6.5104486475265 |
| 84 | 6.53426589141328 |
| 85 | 9.6073475532513 |
| 86 | 18.560808345762 |
| 87 | 23.5282053499375 |
| 88 | 23.7043176091529 |
| 89 | 25.0826515420247 |
| 90 | 91.358695540833 |
| 91 | 185.063141850528 |
| 92 | 288.080055578002 |
 |
| http://127.0.0.1/wessadotnet/public_html/freestatisticsdotorg/blog/date/2007/Nov/05/7qicwzq1bedj40t1194253306/1yl5o1194253340.png (open in new window) |
| http://127.0.0.1/wessadotnet/public_html/freestatisticsdotorg/blog/date/2007/Nov/05/7qicwzq1bedj40t1194253306/1yl5o1194253340.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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Software written by Ed van Stee & Patrick Wessa
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