[Solved] Plot 6-D into 2-D in r [closed]
The simplest thing would be to use PCA to reduce the dimensionality of your data to 2 or 3 dimensions. k-means clustering ought to assign a group to each row of your data so you can easily plot the different…
Tag cluster-analysis
[Solved] Meaning of these R codes? Are they correlated?
The first line does the cluster analysis, and stores the cluster labels in a component called cluster_iris$cluster which is just a vector of numbers. The second line puts that cluster number as a categorical label onto the rows of the…
[Solved] How do I know which observations belong to which cluster? [closed]
If you are interested in the optimisation result from NbClust, you will find it in nc$Best.partition where each number is the cluster number for respective row in the data matrix. for example > nc$Best.partition [1] 1 2 3 4 5…
[Solved] How to cluster with K-means, when number of clusters and their sizes are known [closed]
It won’t be k-means anymore. K-means is variance minimization, and it seems your objective is to produce paritions of a predefined size, not of minimum variance. However, here is a tutorial that shows how to modify k-means to produce clusters…