https://github.com/dev-michael-schmidt/ai-k-means

k-means, an unsupervised learing and custering algorithm
https://github.com/dev-michael-schmidt/ai-k-means

artificial-intelligence c-plus-plus-11 k-means

Last synced: 1 day ago
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k-means, an unsupervised learing and custering algorithm

• Host: GitHub
• URL: https://github.com/dev-michael-schmidt/ai-k-means
• Owner: dev-michael-schmidt
• License: mit
• Created: 2017-12-12T02:00:23.000Z (almost 7 years ago)
• Default Branch: master
• Last Pushed: 2018-06-10T17:17:56.000Z (over 6 years ago)
• Last Synced: 2024-03-20T04:44:59.079Z (8 months ago)
• Topics: artificial-intelligence, c-plus-plus-11, k-means
• Language: C++
• Size: 553 KB
• Stars: 0
• Watchers: 3
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md
  • License: LICENSE

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README

        
# AI-k-means

k-means, an unsupervised machine learning and clustering algorithm.

#### Usage

```make```, then ```./cancer``` or ```./iris```

#### Means implemented:

1. Arithmetic

2. Geometric

3. Harmonic

#### Distance formulas implemented are

1. Euclidean

2. Manhattan (often really bad!)

**Normalization** is also provided and defaulted to 0.5 to 1.5 (see `NORM_MIN` and `NORM_MAX` in `globals.h`) so that geometric mean calculations will produce correct results.  

Instructions are yet to come. Command line arguments are not yet implemented for Distance and Mean selection.  A bash files will be added/modified to allow this functionality in the future.