Fig. 3

Low dimensional representations uncovered by GP-Isomap for three different data sets. For the Swiss roll data, GP-isomap is able to learn the structure in the data using a 2-D reduction, while for the real-world census data sets, the structure is not evident in 2-D and possibly a higher dimensional manifold is required