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# clustering algorithm implementaion and visualization from scratch with python
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# Clustering algorithm implementaion and visualization from scratch with python
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Three popular clustering algorithms (for d >= 2 dimensions, k >= 2 clusters):
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(1) k-means
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(2) EM-GMM (Gaussian mixture model - expectation maximization)
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(3) mean-shift
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Python implementations:
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KMeans.py: k-means
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GaussianMM.py: EM-GMM (Gaussian mixture model - expectation maximization)
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GaussianMM_Ver0.py: another version for EM-GMM (Gaussian mixture model - expectation maximization)
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MeanShift.py: mean-shift
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MeanShift_Ver0.py: another version for mean-shift
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Test on 2D datasets for visualization, compared with sklearn implementation:
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(1) blobs pattern
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(2) sticks pattern
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(3) moon and stars pattern

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