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Laurens van der Maaten developed a MATLAB “toolbox” that collects over 30 techniques for this action, including Maximum Variance Unfolding and Local Tangent Space Alignment. The “swiss roll dataset” is a toy example on which this action can be performed to unravel (15[1])it. Somewhat surprisingly, the Barnes-Hut method for galaxy simulation can substantially speed up a technique for this action called (-5[1])t-SNE (15[1])(“T-snee”). It’s not compression, (15[1])but autoencoder neural networks can perform this action due to having very small hidden layers. Nonlinear techniques for doing this action are also known as (*) manifold learning. Principal component analysis performs this general action on data to avoid a certain “curse” and make it easier to visualize on 2 or 3-D plots. For 10 points, name this action that turns an input data point into an output with a smaller number (10[1])of coordinates. ■END■

ANSWER: dimensionality reduction [accept descriptions of mapping or embedding high-dimensional data to fewer dimensions; accept manifold learning until read; accept visualizing high-dimensional data; prompt on “clustering” with “what action that can result in clustering?”; prompt on “embedding” before read with “embedding data with what property?”; prompt on “visualizing data” with “what property does the data have?”; prompt on “projection” with “what desired effect does projection have?”]
<BC>
= Average correct buzz position

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Buzzes

PlayerTeamOpponentBuzz PositionValue
Adam Finescreaming into the public static void main(String[] args)Eight Megabytes And Constantly Swapping4115
Kevin YeWe Bought a Complexity Zoo StoryEdwardian Manifestation of All Colonial Sins60-5
Dan Niplaying emacs while my parents are arguingMacro Editors6115
Seth EbnerDianetics for Diabeticsa neural-net processor; a thinking machine6415
Dylan MinarikEdwardian Manifestation of All Colonial SinsWe Bought a Complexity Zoo Story13510

Summary

TournamentEditionExact Match?TUHConv. %Power %Neg %Average Buzz
EMACS at CO08/06/2023Y4100%75%25%75.25
EMACS Online10/01/2023N5100%40%20%85.40