Clustrophile: A Tool for Visual Clustering Analysis

author: Çağatay Demiralp, IBM Thomas J. Watson Research Center
published: Nov. 7, 2016,   recorded: August 2016,   views: 1064

Related Open Educational Resources

Related content

Report a problem or upload files

If you have found a problem with this lecture or would like to send us extra material, articles, exercises, etc., please use our ticket system to describe your request and upload the data.
Enter your e-mail into the 'Cc' field, and we will keep you updated with your request's status.
Lecture popularity: You need to login to cast your vote.


While clustering is one of the most popular methods for data mining, analysts lack adequate tools for quick, iterative clustering analysis, which is essential for hypothesis generation and data reasoning. We introduce Clustrophile, an interactive tool for iteratively computing discrete and continuous data clusters, rapidly exploring different choices of clustering parameters, and reasoning about clustering instances in relation to data dimensions. Clustrophile combines three basic visualizations – a table of raw datasets, a scatter plot of planar projections, and a matrix diagram (heatmap) of discrete clusterings – through interaction and intermediate visual encoding. Clustrophile also contributes two spatial interaction techniques, forward projection and backward projection, and a visualization method, prolines, for reasoning about two-dimensional projections obtained through dimensionality reductions.

Link this page

Would you like to put a link to this lecture on your homepage?
Go ahead! Copy the HTML snippet !

Write your own review or comment:

make sure you have javascript enabled or clear this field: