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  • title: Unsupervised Learning
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            Unsupervised Learning
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            Unsupervised Learning

            Jun 13, 2019

            Speakers

            AA

            Abubakar Abid

            Speaker · 2 followers

            AM

            Andrew McCallum

            Speaker · 1 follower

            AK

            Ari Kobren

            Speaker · 0 followers

            About

            DBSCAN++: Towards fast and scalable density clustering DBSCAN is a classical density-based clustering procedure with tremendous practical relevance. However, DBSCAN implicitly needs to compute the empirical density for each sample point, leading to a quadratic worst-case time complexity, which is too slow on large datasets. We propose DBSCAN++, a simple modification of DBSCAN which only requires computing the densities for a chosen subset of points. We show empirically that, compared to traditio…

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            ICML 2019

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            About ICML 2019

            The International Conference on Machine Learning (ICML) is the premier gathering of professionals dedicated to the advancement of the branch of artificial intelligence known as machine learning. ICML is globally renowned for presenting and publishing cutting-edge research on all aspects of machine learning used in closely related areas like artificial intelligence, statistics and data science, as well as important application areas such as machine vision, computational biology, speech recognition, and robotics. ICML is one of the fastest growing artificial intelligence conferences in the world. Participants at ICML span a wide range of backgrounds, from academic and industrial researchers, to entrepreneurs and engineers, to graduate students and postdocs.

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