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KNN
CSE251A Project 1: K-Means Clustering based Prototype Selection for Nearest Neighbor
In the report, we discuss our attempt to choose a better prototype for nearest neighbor other than random selection.We present a KMeans based prototype selection method that clearly outperforms the naive random selection in all our experiments.
Yi Rong
Last updated on May 4, 2022
Statistics
,
Machine Learning
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