Projection algorithms such as multidimensional scaling are often used to visualize high-dimensional data. However, when attempting to interpret the visualization of the resulting 2D projection, users are faced with artifacts. This poster introduces ProxiViz: an interactive technique to provide better insights about the original data-space. Primary results of a controlled experiment show that ProxiViz is significantly more effective than the baseline projection techniques for a visual clustering task.