Displaying 6 results from an estimated 6 matches for "cutreedynamic".
2013 Feb 26
1
cutreeDynamic error
...cified
Place and Color columns as characters (since they are categorical variables)
> dd.daisy<-daisy(myddtable, metric = "gower", stand = FALSE, type =
list(character=c("Place","Color")))
Then I clustered using DIANA
dd.diana<-diana(dd.daisy)
I am trying to cutreeDynamic {dynamicTreeCut} as follows
cutreeDynamic(dd.diana, cutHeight = 2, minClusterSize = 1, method =
"hybrid",+ distM = dd.daisy,+ deepSplit =
(ifelse(method=="hybrid", 1, FALSE)),+ maxCoreScatter =
NULL, minGap = NULL,+ maxAbsCoreScatter = NULL,
minAbsGap = NULL,+ maxDistToLabel =...
2013 Feb 25
0
Argument dendro must have class hclust - cutreeDynamic error
...cified
Place and Color columns as characters (since they are categorical variables)
> dd.daisy<-daisy(myddtable, metric = "gower", stand = FALSE, type =
list(character=c("Place","Color")))
Then I clustered using DIANA
dd.diana<-diana(dd.daisy)
I am trying to cutreeDynamic {dynamicTreeCut} as follows
cutreeDynamic(dd.diana, cutHeight = 2, minClusterSize = 1, method =
"hybrid",+ distM = dd.daisy,+ deepSplit =
(ifelse(method=="hybrid", 1, FALSE)),+ maxCoreScatter =
NULL, minGap = NULL,+ maxAbs...
2010 Aug 06
1
Grouping clusters from dendrograms
...be producing odd
results whereby it is grouping data that overlap branches. However, I'm not
sure if this is because of the script I am using to visualise the data which
may be incorrect.
The script I tried was:
> dendro<-hclust(as.dist(combo2),method="average")
> cut2<-cutreeDynamicTree(dendro,maxTreeHeight=1,deepSplit=TRUE,minModuleSize=1)
I then used the following to visualise the data:
> cut2colour<-labels2colors(cut2)
> plotDendroAndColors(dendro,cut2colour,"Dynamic Tree Cut",
> dendroLabels=FALSE,hang=0.03,addGuide=TRUE,guideHang=0.05)
Any advice...
2012 May 24
4
Manually modifying an hclust dendrogram to remove singletons
Dear R-Help,
I have a clustering problem with hclust that I hope someone can help
me with. Consider the classic hclust example:
hc <- hclust(dist(USArrests), "ave")
plot(hc)
I would like to cut the tree up in such a way so as to avoid small
clusters, so that we get a minimum number of items in each cluster,
and therefore avoid singletons. e.g. in this example, you can see
2011 Jun 23
1
Help using cutreeHybrid
I am using the function cutreeHybrid from the package dynamic Tree Cut and I need a list of the resulting clusters but I do not know how to get it.
[[alternative HTML version deleted]]
2012 Mar 15
1
Get Details About Clusters
Hi everybody!
Anybody knows how can I get detalied information about clusters after using hclust?
The issue is that if I have some items in different clusters, I would like to get the cluster where each item is placed.
Taking into account that my data set is too large, it is not useful to have the dendogram or a graphic, and really I need something like a simple table with item label and cluster