K-Means clustering visually explained

Say you want to identify clusters in a scatterplot of points. K-Means is commonly used method that might get you there. Yi Zhe Ang explains how the method works with a visual and interactive essay.

Tags: , ,

Charting all the Pokemon

Pokemon space

Pokemon is everywhere these days. I think it’s just something the world really needs right now. I know very little about the universe, but I do like it when people analyze fictional worlds and characters. Joshua Kunst grabbed a data dump about all the Pokemon (seriously, I don’t even know if I’m referring to them/it/thing correctly) and clustered them algorithmically. The t-Distributed Stochastic Neighbor Embedding (t-SNE) algorithm to be specific.

Tags: ,