Hi All,

 

For the function "bclust"(e1071), the argument "base.method" is
explained as "must be the name of a partitioning cluster function
returning a list with the same components as the return value of
'kmeans'.

 

In my understanding, there are three partitioning cluster functions in
R, which are "clara, pam, fanny". Then I check each of them to see which
of them can get same components as the return value of "kmeans", by
using the following codes:

 

>x <- rbind(matrix(rnorm(100, sd = 0.3), ncol = 2),

                matrix(rnorm(100, mean = 1, sd = 0.3), ncol = 2))

 

>cl <- kmeans(x, 2)

 

>cl.clara<-clara(x,2)

 

>cl.pam<-pam(x,2)

 

>cl.fanny<-fanny(x,2)

 

But it seems like none of them have exactly the same components as
"kmeans" (Please see "P.S."). Could you please help me clearify which
methods included in the argument "base.method"?  

 

Thank you!

 

P.S.:

 

For example "clara":

 

Medoids:

Objective function:      

Clustering vector:       

Cluster sizes:           

Best sample:

Available components:

 [1] "sample"     "medoids"    "i.med"      "clustering" "objective"
"clusinfo"   "diss"      

 [8] "call"       "silinfo"    "data"  

 

But "kmeans" has:

 

K-means clustering with 2 clusters of sizes 50, 50

Cluster means:

Clustering vector:

Within cluster sum of squares by cluster:

Available components:

[1] "cluster"  "centers"  "withinss" "size"

 

 


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