Tutorial
Identifying Structure in Data: All You Need to Know About Dimensionality, Reduction, Clustering, and More
106 B
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Abstract
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Thu 12 Jun 11 a.m. PDT
— 3 p.m. PDT
Abstract:
This tutorial explores techniques for dataset curation, quality monitoring, dimensionality reduction (t-SNE, UMAP, h-NNE), and clustering (k-means, DBSCAN, FINCH). Attendees will learn how to use these methods to understand structure, reduce bias, detect outliers, and improve performance in AI and CV workflows.
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