On Fri, Mar 09, 2012 at 08:26:01PM -0500, Massimo Di Stefano wrote:
> my target is to have 'groups of species' based on the similarity of theyr
> environmental parameters, and build a dendrogram like [2]
>
> [2] http://massimo-timecapsule.whoi.edu//data/img/manova_clust_matlab.png
> Il giorno M
i'll try to describe the data,
here [1] there is a subdatset (255 rows) 6 columns (a to f)
the last columns contains the Identification Number (ID) for a particular
species.
the ID in f are 20 different species and it should be my 'label':
16001
11012
25011
13011
11029
11027
10022
10024
20009
11
On Fri, Mar 9, 2012 at 1:50 PM, Massimo Di Stefano
wrote:
> Peter,
>
> really thanks for your answer.
>
>
>
> install.packages("flashClust")
> library(flashClust)
> data <- read.csv('/Users/epifanio/Desktop/cluster/x.txt')
> data <- na.omit(data)
> data <- scale(data)
>> mydata
>
Peter,
really thanks for your answer.
install.packages("flashClust")
library(flashClust)
data <- read.csv('/Users/epifanio/Desktop/cluster/x.txt')
data <- na.omit(data)
data <- scale(data)
> mydata
a bc d e
1 -0.207709346 -6.61855
On Thu, Mar 8, 2012 at 4:41 AM, Massimo Di Stefano
wrote:
>
> Hello All,
>
> i've a set of observations that is in the form :
>
> a, b, c, d, e, f
> 67.12, 4.28, 1.7825, 30, 3, 16001
> 67.12, 4.28, 1.7825, 30, 3, 16001
> 66.57, 4.28, 1.355, 30,
2012/3/9 Uwe Ligges :
> I think the main issue of the OP is that he geneartes a 55000x55000 distance
> matrix and has to calculate on it. Beside immense main memory consumption
> this may take ages to complete with hierarchical clustering.
Indeed. I missed that in the original email.
If a non-hie
I think the main issue of the OP is that he geneartes a 55000x55000
distance matrix and has to calculate on it. Beside immense main memory
consumption this may take ages to complete with hierarchical clustering.
Uwe Ligges
On 08.03.2012 15:02, Sarah Goslee wrote:
See inline:
On Thu, Mar 8,
See inline:
On Thu, Mar 8, 2012 at 7:41 AM, Massimo Di Stefano
wrote:
>
> Hello All,
>
> i've a set of observations that is in the form :
>
> a, b, c, d, e, f
> 67.12, 4.28, 1.7825, 30, 3, 16001
> 67.12, 4.28, 1.7825, 30, 3, 16001
> 66.57, 4.28,
Hello All,
i've a set of observations that is in the form :
a,b,c,d,e,f
67.12,4.28,1.7825,30,3,16001
67.12,4.28,1.7825,30,3,16001
66.57,4.28,1.355,30,3,16001
66.2,4.28,1.3459,13,3,16001
66.2,4
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