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Feature extraction of MNIST dataset, and clustering them using K-Means algorithm
I wanna to build a model using deep learning to extract touch features for each user and store it in external file.
The dataset contains row data of user’s touch behaviour done on mobile devices,, the data collected from touch devices, as well as I want to extract helpful features from these data using deep learning and python.. (the data set not images or videos)
Is there any method to do that ?
Thank you
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