https://github.com/lukapopijac/gaussian-mixture-model
Unsupervised machine learning with multivariate Gaussian mixture model which supports both offline data and real-time data stream.
https://github.com/lukapopijac/gaussian-mixture-model
Last synced: 24 days ago
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Unsupervised machine learning with multivariate Gaussian mixture model which supports both offline data and real-time data stream.
- Host: GitHub
- URL: https://github.com/lukapopijac/gaussian-mixture-model
- Owner: lukapopijac
- License: mit
- Created: 2017-04-16T00:03:55.000Z (over 8 years ago)
- Default Branch: master
- Last Pushed: 2025-01-16T04:50:39.000Z (12 months ago)
- Last Synced: 2025-09-18T03:29:43.623Z (4 months ago)
- Language: JavaScript
- Size: 97.7 KB
- Stars: 30
- Watchers: 2
- Forks: 1
- Open Issues: 2
-
Metadata Files:
- Readme: README.md
- License: LICENSE
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README
Gaussian Mixture Model
======================
Unsupervised machine learning with multivariate Gaussian mixture model
which supports both offline data and real-time data stream.
Demo:
Installation
------------
```
npm install gaussian-mixture-model
```
Simple Example
--------------
```javascript
import GMM from 'gaussian-mixture-model';
// initialize model
let gmm = new GMM({
weights: [0.5, 0.5],
means: [[-25, 40], [-60, -30]],
covariances: [
[[400,0],[0,400]],
[[400,0],[0,400]]
]
});
// create some data points
let data = [
[11,42],[19,45],[15,36],[25,38],[24,33],
[-24,3],[-31,-4],[-34,-14],[-25,-5],[-16,7]
];
// add data points to the model
data.forEach(p => gmm.addPoint(p));
// run 5 iterations of EM algorithm
gmm.runEM(5);
// predict cluster probabilities for point [-5, 25]
let prob = gmm.predict([-5, 25]); // [0.000009438559331418772, 0.000002126123537376676]
// predict and normalize cluster probabilities for point [-5, 25]
let probNorm = gmm.predictNormalize([-5, 25]); // [0.8161537535012295, 0.18384624649877046]
```
License
-------
This software is released under the MIT license.