Can there be several dependent variables?
The dependent variable responds to the independent variable. It is called dependent because it “depends” on the independent variable. In a scientific experiment, you cannot have a dependent variable without an independent variable. There may be more than one dependent variable and/or independent variable.
How do you cluster a variable in R?
Variable clustering is used for assessing collinearity, redundancy, and for separating variables into clusters that can be scored as a single variable, thus resulting in data reduction. For computing any of the three similarity measures, pairwise deletion of NAs is done. The clustering is done by hclust() .
Is it better to choose one variable from each cluster?
And choosing only one variable from each variable cluster will not drop the sepration drastically compared to considering all variables. Remember, the idea is to take minimum number of variables to justify the seperation to make the analysis easier and less time consuming.
What are the advantages of using clustering technique?
The answer to this question is in one of the advantages of using clustering technique. Clustering generates natural clusters and is not dependent on any driving objective function. Hence such a cluster can be used to analyze the portfolio on different target attributes.
How is the number of clusters determined in clustering analysis?
As can be seen from the figure above, we start with a definite number for the number of required cluster (in this case k=2). The algorithm takes 2 random seeds and maps all other data points to these two seeds. The algorithm re-iterates till the overall penalty term is minimized.
How is hierarchical clustering different from k means clustering?
When we compare the two techniques, we find that the Hierarchical Clustering starts with individual data-points and sequentially club them to find the final cluster whereas k-means Clustering starts from some initial cluster and then tries to reassign data-points to k clusters to minimize the total penalty term.