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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