Data Clustering | Part 1 | Introduction

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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
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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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