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High-Dimensional Probability: An Introduction with Applications in Data Science (Cambridge Series in Statistical and Probabilistic Mathematics Book 47). Machine learning, data mining, data streams, big data, high performance computing, GPU, Spark. Head of the High-Performance Data Mining laboratory at VCU por AK Jain · Mencionado por 9915 — CLIQUE [Agrawal et al. , 1998] is a scalable clustering algorithm designed to find subspaces in the data with high-density clusters. Although CLIQUE is a non- PDF | On Nov 20, 2018, Ian Pilgrim and others published Fractal Analysis of to generalize the technique to higher- or lower-dimensional systems. The data and examples included in the text are drawn from a wide range of sources; as a result a variety of conventions for dimensions is used throughout. por N Obradovich · 2020 · Mencionado por 10 — collection of massive data on human behavior provides a high-dimensional complement to traditional cultural metrics. Further, the granularity of the measure por NU CEPAL · 2014 · Mencionado por 2 — This paper was prepared by Wilson Peres in the framework of a joint effort between the Division of Production, Productivity and Management and the Climate30 páginas High-Dimensional Probability: An Introduction with Applications in Data Science: 47 (Cambridge Series in Statistical and Probabilistic Mathematics, Publicado: (2012); Statistics for high-dimensional data : methods, theory and applications / por: Buhlmann, Peter, et al. Publicado: (2011); An Introduction
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