“ACCENSE is a tool for exploratory analysis of high-dimensional single-cell data such as that generated by Mass Cytometry (CyTOF™, Fluidigm Corp.). By combining a nonlinear dimensionality reduction algorithm (t-SNE or Barnes-Hut SNE) with a k-means clustering algorithm both visualization for exploratory analysis and automated cell classification into subpopulations is performed.”
The Wermeling lab 
I find the combination of t-SNE, Barnes-Hut SNE, and k-means in ACCENSE to be very powerful.