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: clustering, k-means, Yi Zhe Ang
Adam's Blogroll: click through to the author's blog
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: clustering, k-means, Yi Zhe Ang
Posted by clustering, Infographics, k-means, Yi Zhe Ang
inPokemon 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: clustering, Pokemon
Posted by clustering, Pokemon, statistics
in