Using T-SNE in Python to Visualize High-Dimensional Data Sets | Built In
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Using T-SNE in Python to Visualize High-Dimensional Data Sets | Built In
T-distributed stochastic neighbor embedding (t-SNE) is a non-linear dimensionality reduction technique used to visualize high-dimensional data in a lower-dimensional (2D or 3D) space. Here’s how to apply it in Python.
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59K views · 2.7K reactions | Learn advanced tools and techniques for data analysis and visualization in Excel using Pivot Table, Vlookup, What-if Analysis, Data Analysis ToolPak, Charts and much more Signup today & start learning online! | Learnfly | Facebook
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