I have data with 4 observations and 24 variables. To understand the underlying relationship I performed Multi-Dimensional Scaling (MDS), and got a plot like this:
Now the issue is with the correct interpretation of the plot. I understand the two axes (i.e., the x-axis and y-axis) imply the variation in data along the two principal components. But, my specific doubts are:
- Should I infer that points 1 and 3 vary along
dimension-1only and there is no relationship between them in
- Similarly, should I infer points 1 and 2 along
- How should I explain the relationship of point 4 with the rest of the points?