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What do you thinK it means?
This post is about k-means clustering. I’ll describe what it isn’t, what it is, and I’ll give some examples of the process. Don’t worry – it’s actually pretty simple.
Broadly – K-means clustering is just the following steps;
- Choose a certain number of groups (we refer to this number as K, hence K-means)
- Randomly group our data into that number of groups
- Measure how badly we did (as in – how different the different points in our groups are)
- Repeat hundreds or millions of times
- Choose the attempt that was the least bad.
If that’s all you really needed – crack on to that Dime cake, otherwise – I’ll go into more detail below.Continue reading “What is K-means clustering? (Plus free Python code)”