Metadata-Version: 2.1
Name: triangle-sector-similarity
Version: 1.6
Summary: Find the similarity between vectors
Home-page: https://github.com/mohvam98/triangle_sector_similarity
Author: mohan98
Author-email: mohanavamsi98@gmail.com
License: MIT
Platform: UNKNOWN
Classifier: License :: OSI Approved :: MIT License
Classifier: Programming Language :: Python :: 3.6
Classifier: Programming Language :: Python :: 3.7
Classifier: Programming Language :: Python :: 3.8
Classifier: Programming Language :: Python :: 3.9
Description-Content-Type: text/markdown
License-File: LICENSE
Requires-Dist: numpy
Requires-Dist: scipy

# Triangle Area - Sector Area Similarity
It takes two vectors as an input and can return Cosine Similarity, Eucledian Distance, Triangle Area - Sector Area Similarity.

## Installation
``` pip install triangle_sector_similarity ```

## How to use it?
```
from triangle_sector_similarity import Cosine_Similarity,Euclidean_Distance,TS_SS,Pairwise_TS_SS

vec1 = [1,2,3]
vec2 = [2,4,5]

#Triangle Area Similarity â€“ Sector Area Similarity
ts_ss = TS_SS(vec1,vec2)

#Cosine Similarity
cos_sim = Cosine_Similarity(vec1,vec2)

#Euclidean Distance
euc_dist = Euclidean_Distance(vec1,vec2)

#Pairwise Triangle Area Similarity â€“ Sector Area Similarity
lst1 = [[1,2,3],[2,3,4]]
lst2 = [[2,4,5],[2,8,6]]

pairwise_ts_ss = Pairwise_TS_SS(lst1,lst2)
```

## License
Â© 2022 mohan98

This repository is licensed under the MIT license. See LICENSE for details.

