Oct 1, 2011 · Stochastic proximity embedding (SPE) was developed as a method for efficiently calculating lower dimensional embeddings of high-dimensional data ...

Stochastic proximity embedding (SPE) was developed as a method for efficiently calculating lower dimensional embeddings of high-dimensional ...

Oct 1, 2011 · Stochastic proximity embedding (SPE) was developed as a method for efficiently calculating lower dimensional embeddings of high-dimensional ...

Stochastic proximity embedding (SPE) was developed as a method for efficiently calculating lower dimensional embeddings of high-dimensional data sets.

Stochastic Proximity Embedding on Graphics Processing Units: Taking Multidimensional Scaling to a New Scale. https://doi.org/10.1021/ci200420c.

Stochastic proximity embedding (SPE) was developed as a method for efficiently calculating lower dimensional embeddings of high-dimensional data sets.

Article "Stochastic Proximity Embedding on Graphics Processing Units: Taking Multidimensional Scaling to a New Scale" Detailed information of the J-GLOBAL ...

In this paper, we will introduce a new method to investigate the best visualization of remote sensing imagery data sets on graphics processing units (GPU).

At its core, SPE attempts to generate Euclidean coordinates for a set of points so that they satisfy a prescribed set of geometric constraints. The algorithm's ...

Stochastic Proximity Embedding on Graphics Processing Units: Taking Multidimensional Scaling to a New Scale · E. YangPu LiuD. N. RassokhinD. Agrafiotis.