2 articles in this selection

2009/08/07

This is the index page of a "machine learning classifier gallery" which shows the results of numerous experiments on machine learning algorithms when applied to two-dimensional patterns. Each row shows a different pattern (or pattern set), described verbally then illustrated on a 2-D grid. These patterns were randomly generated (for the most part) on a 2-D grid of points. The points were then labeled based on where they fell in the pattern. On the right are algorithm classes (instance-space, rule + tree, etc.). Clicking on one of these takes you to a page showing different samples (size 50 to 1000) of the target pattern and the hypotheses generated from it by the various algorithms. Clicking on any diagram will show it to you at full resolution. Hovering over an algorithm name (eg, pyriel-2) will describe briefly what the algorithm is and exactly what arguments it was invoked with....

2009/07/08

Graph visualization is a way to discover and visualize structures in complex relations. What sort of structures are people who do large scale computation studying? We can get a glimpse by visualizing the thousands of sparse matrices submitted to the University of Florida Sparse Matrix collection. The resulting gallery contains the drawing of graphs as represented by 2218 sparse matrices in this collection...