What is t-SNE?
An example of an AI chatbot conversation about t-SNE, a dimensionality reduction technique.
What is t-SNE?
t-SNE, or t-distributed Stochastic Neighbor Embedding, is a machine learning algorithm for dimensionality reduction.
How does t-SNE work?
t-SNE converts high-dimensional data into a lower-dimensional space, preserving the structure of the data.
What are some applications of t-SNE?
t-SNE is commonly used in visualizing high-dimensional data, such as in genomics and image processing.
Is t-SNE better than PCA?
It depends on the context. t-SNE is better for visualizing complex data structures, while PCA is faster and simpler.
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