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https://github.com/kui-shell/string-similarity-coloring

Color a given set of N strings into a set of M<N color classes
https://github.com/kui-shell/string-similarity-coloring

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Color a given set of N strings into a set of M<N color classes

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# String Similarity Coloring

This package includes a set of heuristics to map a set of N strings to
a set of M

```typescript
import ssc from 'string-similarity-coloring'

// returns an array of color-class assignments,
// parallel to the input array of strings
ssc(['apache-coyote', 'apache', 'nginx 1',
'nginx 2', 'nginx', 'microsoft a'],
{ theme: 'colorbrewer' })
[
{ primary: 0, secondary: 0, color: '#2166AB' },
{ primary: 0, secondary: 2, color: '#91C4DE' },
{ primary: 1, secondary: 0, color: '#B4182B' },
{ primary: 1, secondary: 3, color: '#FDDCC9' },
{ primary: 1, secondary: 3, color: '#FDDCC9' },
{ primary: 2, secondary: 0, color: '#762A83' }
]
```

Where `primary` is the primary classification of the string, and
`secondary` is a secondary classification, based on distance of this
string from the string that defines the primary. If you want to use
your own color assignments, you can use the `primary` and
`secondary`. Otherwise, you can use the color scheme provided in the
response.

---

Magic from [IBM Research](https://www.research.ibm.com/).