- MDS is a technique that allows us to map the distances between
points in a high dimensional space into a lower dimensional
space
- It is a useful clustering technique
- Usually, the data is scaled down to a two or three dimensional
space
- A proper distance metric is required- the usual metric is the
dissimilarity matrix, which can be obtained from the similarity
matrix
- The mathematical formulation for MDS is done in a way such that
the plot of modeled distances versus the actual distances
reveals a monotonically increasing trend