Machine Learning - Typology
Classifying Architectural Typologies with Unsupervised Learning
Independent — 2017
Classifying Architectural Typologies with Unsupervised Learning
Independent — 2017
In Progress...
This research, currently in progress, applies unsupervised learning techniques to the classification of building typology. Using python code and physical data from a New York City’s Department of City Planning dataset, this algorithm takes an address as an input, analyzes the site’s dimensions and proportions, and outputs a prediction of building type (i.e. single family residence, warehouse, cathedral).
Applied techniques include data exploration, benchmarking, data preprocessing, feature transformation, Gaussian mixture
model clustering, and k-means clustering.
Github
This research, currently in progress, applies unsupervised learning techniques to the classification of building typology. Using python code and physical data from a New York City’s Department of City Planning dataset, this algorithm takes an address as an input, analyzes the site’s dimensions and proportions, and outputs a prediction of building type (i.e. single family residence, warehouse, cathedral).
Applied techniques include data exploration, benchmarking, data preprocessing, feature transformation, Gaussian mixture
model clustering, and k-means clustering.
Github
![](https://freight.cargo.site/t/original/i/a4de027094f1ee847b523e25e8f1224242ba34cc75472d6f8414223741648601/ML_TypPrec_01.png)
![](https://freight.cargo.site/t/original/i/5d7373e0b98e9d1fb2813a5b1a5d7bd790e52fbb6f5698de3d3c5c5cf5a90cfb/ML_TypPrec_03.png)
![](https://freight.cargo.site/t/original/i/233a2d38b2e3881e31b0972365b6d2a1c2b012139786bb2d5c86667f52e28cc4/ML_TypPrec_02.png)
![](https://freight.cargo.site/t/original/i/8a08d380d629b9f3d3728ea32bea22b140976b6f6d69fc4c8ac507e08138c04c/ML_TypPrec_04.png)
![](https://freight.cargo.site/t/original/i/1411891604319f4a4f517a6d0a9008b081e32cea258951ad245ced38c827cae1/ML_TypPrec_05.png)
![](https://freight.cargo.site/t/original/i/234f51a3e046851d313446c7a822bea4c486f8fd25f5842649222e03fb526b39/ML_Typology-01.png)
![](https://freight.cargo.site/t/original/i/36d8526a0447a4a1eb1846b59e7d1aedbdd9e5a6f28bce39994bad124a93a1ed/ML_Typology-04.png)
![](https://freight.cargo.site/t/original/i/28194d1fd0d42bfd07cc9d7374b477b45122f8d8ebada1142b754cd1053cb1bd/ML_Typology-02.png)
![](https://freight.cargo.site/t/original/i/1d2e83f4235746375dd97c20379ae87b59edb64334bc2af8219a5a4166662fb0/ML_Typology-03.png)