Please nevermind as I've just solved this by using scatterplot matrices.
Suhaila
> From: bell_beaut...@hotmail.com
> To: r-help@r-project.org
> Date: Mon, 14 May 2012 06:28:06 +1200
> Subject: [R] Couldn't plot all PCA new attributes on K-Means Clustering
>
>
> Hello.
> I'm trying to plot clusters for all possible combination of attributes.
> So I typed in
> plot(pr2NewMedicalData, col = kmpr2NewMedicalData$cluster)
> The problem is it only plots PC2 axis against PC1 axis. There should be PC1
> to PC10. I tried it on normal data (not PCA) and it plots all possible
> combination of attributes.
> Here's the data before applying K-means clustering. It's too long so I just
> show you some essential information;
> structure(c(8.18794213444232, 108.09939741361, -129.331704413972,
> 245.596491781615, 284.97336181805, 46.2393277833597, 102.670149102092,
> ........................................-56.0868873906073, 78.7111917257909,
> 17.2805919727568, 8.21955994418973, -52.8841201560606), .Dim = c(1076L, 10L),
> .Dimnames = list(NULL, c("PC1", "PC2", "PC3", "PC4", "PC5", "PC6", "PC7",
> "PC8", "PC9", "PC10")))
> And here's the data after applying K-means clustering. It's too long as well
> so I just show you some essential information only;
> structure(list(cluster = c(2L, 1L, 2L, 1L, 1L, 2L, 1L, 2L, 2L, 2L, 2L, 2L,
> 1L, 1L, 2L, 2L, 2L, 1L, 2L, 2L, 2L, 2L, 1L, 1L, 2L,
> .........................................1L, 1L, 2L, 1L, 1L, 2L, 2L, 2L, 2L,
> 2L, 2L, 1L, 2L, 2L, 2L, 2L, 1L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 1L, 2L),
> centers = structure(c(202.683498408051, -91.234890118988, -6.32822645738145,
> 2.84855476653021, 7.14162520784024, -3.21469382670974, 9.13147239059093,
> -4.11039323242235, -2.71400953442991, 1.22167005997248, 2.69685863804327,
> -1.21394984515696, -1.19187335000922, 0.536503637335695, 0.509142465076951,
> -0.229182726867495, 4.82054598771028, -2.16989536374021, 4.66753734226828,
> -2.10102085218006), .Dim = c(2L, 10L), .Dimnames = list(c("1", "2"), c("PC1",
> "PC2", "PC3", "PC4", "PC5", "PC6", "PC7", "PC8", "PC9", "PC10"))), totss =
> 86060500.4826787, withinss = c(21892651.1737651, 44156468.7023972),
> tot.withinss = 66049119.8761623, betweenss = 20011380.6065164, size =
> c(334L, 742L)), .Names = c("cluster"!
, !
> "centers", "totss", "withinss", "tot.withinss", "betweenss", "size"), class
> = "kmeans")
> Please help,Suhaila
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>
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