FastMap Efficient way of dimensionality reduction Designed for Euclidean spaces Works for any metric space SVD finds axis where variance is maximum FastMap tries to find axis where range (or spread) is maximum Basic idea   Find axis with largest range   Project points onto that   Obtain (reduced) dimensions one by one by repeating above steps