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\section{Proposed Topic for Research}  Figure 1: Envisioned flow of the interactive visualization tool.  The proposed topic seeks to explore how an algorithm for big data visualization might be developed that combines the desirable properties of the existing algorithms in for  data mining for big data. We aim to create an interactive visualization tool for bigand high dimensional  data that incorporates user feedback into the algorithm to give some degree of freedom for the user to manipulate the visualization to their preference, as shown in figure 1. This is similar Similar to how SOM, MDS, and PCA preserves neighborhoods, distances, and variances, this visualization too allows users  to your inject domain knowledge on their visualizations and preserve certain properties that they deem fit. A similar  work in was done on  computer aided thinking \cite{sumi1997computer} where the thought spaces can be manipulated by theuser. Some ideas for the  user feedback would to allow idea formulation. The concept can  be related  to prioritize certain distances or fix certain points the game  of interest text twist where you can rearrange letters, which in their case are words, to discover patterns and formulate ideas that might not be obvious in some arrangements. The thought spaces can also be fixed to certain spaces  andmap  the rest of thedata  points around the fixed points will position themselves  with respect to the points of interest. these fixed points.