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This project aims to cluster US patents in order to analyse what sort of domains various companies work in. This enables analysis of competition and an overview in general. Various clustering techniques including the simple-kmeans is used along with corrections using inertia and elbow curve analysis.

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priyankmodiPM/Patent-Classification_doc2vec_kmeans

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100,200,10.png

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100,500,10.png

 
 

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100,500,100.png

 
 

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Centroid+data_points__PLOTS.ipynb

Centroid+data_points__PLOTS.ipynb

 
 

centroids.png

centroids.png

 
 

cluster_110.txt

cluster_110.txt

 
 

d2v(2).model

d2v(2).model

 
 

data_points+centroids.png

data_points+centroids.png

 
 

elbow.ipynb

elbow.ipynb

 
 

k-means_128.ipynb

k-means_128.ipynb

 
 

tfidf.txt

tfidf.txt

 
 

tfidf_110clusters.ipynb

tfidf_110clusters.ipynb

 
 

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This project aims to cluster US patents in order to analyse what sort of domains various companies work in. This enables analysis of competition and an overview in general. Various clustering techniques including the simple-kmeans is used along with corrections using inertia and elbow curve analysis.

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