Introduction to Submodular Clustering In Low Dimensions
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Submodular Clustering In Low Dimensions Comprehensive Overview
This is Stefanie Jegelka's lecture on Stefanie Jegelka, MIT https://simons.berkeley.edu/talks/andreas-krause-stefanie-jegelka-01-23-2017-1 Foundations of Machine ... ... at the smaller set is a
One of the most fundamental steps in data analysis and dimensionality reduction consists of approximating a given dataset by a ...
Summary & Highlights for Submodular Clustering In Low Dimensions
- DBSCAN is a super useful
- Many problems in machine learning that involve discrete structures or subset selection may be phrased in the language of ...
- A Google Algorithms TechTalk, 2021/01/14, presented by Mehrdad Ghadiri.
- Mahdi Soltanolkotabi, University of Southern California https://simons.berkeley.edu/talks/mahdi-soltanolkotabi-10-05-17 Fast ...
- Authors: Yangyang Hou, Joyce Jiyoung Whang, David F. Gleich, Inderjit S. Dhillon Abstract:
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