As a child, I found some books that you can play. You read one paragraph, and you are asked to take a decision - "Open the door" or "Ring the bell", "Go left" or "Go right". Then, depending on your choice, the story was different. Here, I describe a simple way to generate a static set of pages enabling to play the game.
We naturally plot (x, y) on a plane, but what about complex data ? Series for instance. For this kind, traditional plot does not help. In this article, taking Syracuse series as an example, I describe how to process the data to get a nice 2D plot where some analysis can be performed.
Tags: machine learning graphs mathematics series Syracuse
This website is generated thanks to Jekyll. Embedding a Bokeh plot as an html file was easy. However, this way prevents from adding multiple plot. In this article I describe one possible solution.
Tags: programming bokeh jekyll
Experiments against NMI evaluation.
Tags: machine learning unsupervised clustering ensemble
EClust are often evaluated using NMI and ARI. If they were good measure, you would get a score of one for a perfect consensus, and 0 for a very bad one. There are very simple experiments showing they do not behave this way. This article will show the problem and describe where it comes from. Next, we will propose alternative measure this consensus functions.
Tags: clustering ensemble machine learning scoring unsupervised