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K-means clustering with optimization


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Wednesday, April 11, 2018, 11:00am


K-means clustering aims to partition a set of n points into k clusters in such a way that each observation belongs to the cluster with the nearest mean, and such that the sum of squared distances from each point to its nearest mean is minimal. In the wors

Speaker: Soledad Villar


I am Moore-Sloan Research Fellow at the Center for Data Science at New York University. I also have a Collaboration Scientist appointment at the Algorithms and Geometry Simons Collaboration. Before this I was a Research Fellow at a semester-long optimizat

Location : CoRE 301


Pranjal Awasthi and Shubhangi Saraf

Event Type: Seminar



New York University