Data Clustering | Part 3 | Algorithms and Evaluation

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From the course by Icahn School of Medicine at Mount Sinai
Big Data Science with the BD2K-LINCS Data Coordination and Integration Center
10 оценки
Icahn School of Medicine at Mount Sinai
10 оценки
From the lesson
Data Clustering
This module describes the mathematical concepts behind data clustering, or in other words unsupervised learning - the identification of patterns within data without considering the labels associated with the data.

Meet the Instructors

  • Avi Ma’ayan, PhD
    Avi Ma’ayan, PhD
    Director, Mount Sinai Center for Bioinformatics
    Professor, Department of Pharmacological Sciences

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