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README.md

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Implementation of some of the most used Clustering Algorithms from scratch in Python (only using Numpy).
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* ## MeanShift
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* ## MeanShift Clustering
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### Generated Data
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![](MeanShift/results/0*generated_data.jpg)
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* #### Predicted Cluster Centers after 6th Iteration
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![](MeanShift/results/1*progress_0006_cluster_centers.jpg)
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### Final Result
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### Final Mean Shift Clustering Result
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![](MeanShift/results/3*meanShift_result.jpg)
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* ## xyz ALgo
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* ## kMeans Clustering
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### Generated Data
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![](kMeans/results/generated_data.jpg)
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### Before kMeans
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![](kMeans/results/before_kmeans.jpg)
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### Predicting Cluster Centers
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* #### Predicted Cluster Centers after 0th Iteration
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![](kMeans/results/iter0.jpg)
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* #### Predicted Cluster Centers after 4th Iteration
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![](kMeans/results/iter4.jpg)
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* #### Predicted Cluster Centers after 8th Iteration
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![](kMeans/results/iter8.jpg)
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* #### Predicted Cluster Centers after 12th Iteration
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![](kMeans/results/iter12.jpg)
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### Final kMeans Clustering Result
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![](kMeans/results/iter12.jpg)

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