This repository contains a collection of data structures and algorithms implemented in various programming languages. It is designed to help learners understand key concepts through hands-on examples. Contributions and improvements are welcome!
t-SNE (t-Distributed Stochastic Neighbor Embedding) is a non-linear dimensionality reduction technique that maps high-dimensional data to a lower-dimensional space while preserving the local structure of the data. It is particularly effective for visualizing high-dimensional data.
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Description
t-SNE (t-Distributed Stochastic Neighbor Embedding) is a non-linear dimensionality reduction technique that maps high-dimensional data to a lower-dimensional space while preserving the local structure of the data. It is particularly effective for visualizing high-dimensional data.
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