Random Projection

6.6. Random Projection

Scikit-learn User Guide

The sklearn.random_projection module implements a simple and computationally efficient way to reduce the dimensionality of the data by trading a controlled amount of accuracy (as additional varianc......

The Johnson-Lindenstrauss bound for embedding with random projections

Scikit-learn Examples

The Johnson-Lindenstrauss bound for embedding with random projections The Johnson-Lindenstrauss lemma states that any high dimensional dataset can be randomly projected into a lower dimensional Euclid...

Similarity Search, Part 6: Random Projections with LSH Forest

Towards Data Science

Understand how to hash data and reflect its similarity by constructing random hyperplanes Similarity search is a problem where given a query the goal is to find the most similar documents to it among...