Hierarchical Clustering - industry
| Summary of compuational transaction | |
| Raw Input | view raw input (R code) |
| Raw Output | view raw output of R engine |
| Computing time | 2 seconds |
| R Server | 'Gwilym Jenkins' @ 72.249.127.135 |
| Summary of Dendrogram | |
| Label | Height |
| 1 | 2.51197133741609 |
| 2 | 2.96141857899216 |
| 3 | 3.39411254969542 |
| 4 | 3.76164857476080 |
| 5 | 3.772267222772 |
| 6 | 4.17133072292284 |
| 7 | 4.56289381861994 |
| 8 | 4.73497624070069 |
| 9 | 4.78434948556228 |
| 10 | 4.94267134250296 |
| 11 | 5.11985360729854 |
| 12 | 5.25071423713004 |
| 13 | 5.33197899470731 |
| 14 | 5.36003731330296 |
| 15 | 5.4230987451825 |
| 16 | 5.98414572015086 |
| 17 | 6.25065996541364 |
| 18 | 6.40234332100365 |
| 19 | 7.31862934082526 |
| 20 | 7.54055700860354 |
| 21 | 7.64068059795723 |
| 22 | 8.14243881330763 |
| 23 | 8.56051278084377 |
| 24 | 8.85934844935958 |
| 25 | 9.14632994752397 |
| 26 | 9.26282894152753 |
| 27 | 9.80116422703554 |
| 28 | 10.6977783089397 |
| 29 | 10.9004587059444 |
| 30 | 10.9175633333175 |
| 31 | 10.9475302735850 |
| 32 | 11.9998557297210 |
| 33 | 12.4550566032831 |
| 34 | 12.7365437294496 |
| 35 | 13.5042881778377 |
| 36 | 13.7105442514842 |
| 37 | 14.0196290963777 |
| 38 | 14.4740197839994 |
| 39 | 14.7528628152703 |
| 40 | 14.7624888662622 |
| 41 | 15.2801814647016 |
| 42 | 15.7329885315009 |
| 43 | 16.2638446536299 |
| 44 | 19.5687631206085 |
| 45 | 22.8315762376692 |
| 46 | 23.4330811510197 |
| 47 | 23.9161328160879 |
| 48 | 26.6779054441941 |
| 49 | 32.4786719273815 |
| 50 | 42.2863700223221 |
| 51 | 42.9484552536474 |
| 52 | 43.9733326835754 |
| 53 | 57.1486548087513 |
| 54 | 62.1916088871956 |
| 55 | 66.4865062075421 |
| 56 | 104.465512061466 |
| 57 | 104.840902584218 |
| 58 | 127.098967718465 |
| 59 | 204.433638158449 |
| 60 | 492.13317238656 |
 |
| http://127.0.0.1/wessadotnet/public_html/freestatisticsdotorg/blog/date/2007/Nov/02/ux05xqhwb14uqdr1194021262/1f9hk1194021166.png (open in new window) |
| http://127.0.0.1/wessadotnet/public_html/freestatisticsdotorg/blog/date/2007/Nov/02/ux05xqhwb14uqdr1194021262/1f9hk1194021166.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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