Machine Learning

Clustering Patients with Tensor Decomposition

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  • arXiv
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    Clustering Patients with Tensor Decomposition

    In this paper we present a method for the unsupervised clustering of high-dimensional binary data, with a special focus on electronic healthcare records. We present a robust and efficient heuristic to face this problem using tensor decomposition. We present the reasons why this approach is preferable for tasks such as clustering patient records, to more commonly used distance-based methods. We run the algorithm on two datasets of healthcare records, obtaining clinically meaningful results.

    Clustering Patients with Tensor Decomposition
    by Matteo Ruffini, Ricard Gavaldà, Esther Limón
    https://arxiv.org/pdf/1708.08994v1.pdf

    • This topic was modified 1 year, 8 months ago by  admin.

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