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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
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### Generated Data
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![](MeanShift/results/0*generated_data.jpg)
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### Actual Cluster Centers
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![](MeanShift/results/2*cluster_centers.jpg)
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### Initialization of Predicted Cluster Centers
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![](MeanShift/results/1*progress_0000_initialization_of_cluster_centers.jpg)
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### Predicting Cluster Centers
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### Predicted Cluster Centers after 2nd Iteration
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![](MeanShift/results/1*progress_0002_cluster_centers.jpg)
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* #### Initialization of Predicted Cluster Centers
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![](MeanShift/results/1*progress_0000_initialization_of_cluster_centers.jpg)
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### Predicted Cluster Centers after 4th Iteration
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![](MeanShift/results/1*progress_0004_cluster_centers.jpg)
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* #### Predicted Cluster Centers after 2nd Iteration
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![](MeanShift/results/1*progress_0002_cluster_centers.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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* #### Predicted Cluster Centers after 4th Iteration
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![](MeanShift/results/1*progress_0004_cluster_centers.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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### Result
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![](MeanShift/results/3*meanShift_result.jpg)
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* ## xyz ALgo

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