With this work we propose a model to recognize the speaker and the place of registrations token using Science Journal app. These registrations are made of various kinds of environment sensing implemented through the mobile's sensors. We faced the task using most of the main tools studied during the Statistical Learning course; in particular, we proceeded with some fundamental and essential guidelines:
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Sensing is, obviously, time dependent and we have to take this into account, so the basis of the work is Functional Analysis, in particular basis expansion.
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Basis expansion means, in general, that there will be a huge number of features (coefficients) in the dataset, so another keyword is Dimensionality Reduction.
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ML problems and techniques are constantly evolving and we thought a good idea is using State-of-the-Art methods. In particular, here we propose a graph-based semi-supervised clustering algorithm. The paper poster can be freely read here.
All the detailed descriptions of scripts and logic are in report.html (not readable on GitHub, you can just use a viewer.