Analysis of information sources in references of the Wikipedia article "Izometrie" in Romanian language version.
Let T be a transformation (possibly many-valued) of () into itself.
Let be the distance between points p and q of , and let Tp, Tq be any images of p and q, respectively.
If there is a length a > 0 such that whenever , then T is a Euclidean transformation of onto itself.
Let T be a transformation (possibly many-valued) of () into itself.
Let be the distance between points p and q of , and let Tp, Tq be any images of p and q, respectively.
If there is a length a > 0 such that whenever , then T is a Euclidean transformation of onto itself.
Let T be a transformation (possibly many-valued) of () into itself.
Let be the distance between points p and q of , and let Tp, Tq be any images of p and q, respectively.
If there is a length a > 0 such that whenever , then T is a Euclidean transformation of onto itself.
It can retrieve the ideal embedding if MLLE is applied on data points sampled from an isometric manifold.