Dimensionality Reduction

When dealing with high dimensional data, it's a good idea to reduce the number of dimensions by projecting the data to a lower dimension while still capturing the essence of the data. This is called dimensionality reduction.

Most common approach to dimensionality reduction is called Principal Components Analysis.

Unsupervised Learning is helpful for this.