
Ever wondered how to figure out the different groups within a mixed-up pile of fruit?
Image: Balkiss.hamad, CC BY-SA 4.0, via Wikimedia Commons
Ever wondered how to figure out the different groups within a mixed-up pile of fruit?
Imagine you're at a fruit market with a mixed bag of apples, oranges, and bananas. You want to sort them into their respective groups without knowing which fruit is which at first.
Think of the mixed bag as a puzzle where each piece belongs to a different group. The idea is to find patterns that help us guess which fruit is which based on how they look together.
Example
You notice that apples tend to be round, oranges are usually round and orange, and bananas are long and curved. By looking at the shapes and colors, you start to sort them into groups.
Remember this
A Gaussian Mixture Model helps us sort mixed data into groups by assuming each group follows a different pattern, like the shapes of fruits.
Text adapted from Wikipedia, licensed under CC BY-SA 4.0.
the multivariate Gaussian is parameterized by: mean vector μ and covariance matrix Σ
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