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Clustering Malaria drugs images using Max-cut algorithm #38
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waheeda-saib
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Q-means : A quantum algorithm for unsupervised machine learning
Q-means : A quantum algorithm for unsupervised machine learning based on Bernstein–Vazirani algorithm
Dec 12, 2019
look at how the dot product is implemented in qsvm |
Dummy data to use: https://drive.google.com/drive/folders/1lgaHcpwIvBGSKa3IZsikKdx99Yx-I7A7 |
@waheeda-saib , I sent you an invitation to the coaches team. Please, join that team so our bot knows that you are not a participant but a coach! Thanks! |
Bernstein Vazirani Qiskit link: https://community.qiskit.org/textbook/ch-algorithms/bernstein-vazirani.html |
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Here is the repository with the code |
fifimatu
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Q-means : A quantum algorithm for unsupervised machine learning based on Bernstein–Vazirani algorithm
Clustering Malaria drugs images using Max-cut algorithm
Dec 13, 2019
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Abstract
Q-means is an unsupervised machine learning approach that is the quantum version of of the K-means clustering algorithm. The proposed q-means offers an exponential speedup in the number of points of the dataset as compared to the classical k-means algorithm. This method will applied to a malaria drug dataset to explore drug similarity
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An aqua module and paper
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