Skip to content

Dimensionality reduction using PCA #53

@bkowshik

Description

@bkowshik

We currently have 115 attributes for every changeset. It is practically impossible how all these features look like. But, we could use techniques of Dimensionality reduction and project them into 2 dimensions.

We have powerful Principal component analysis (PCA) as part of scikit-learn:

Metadata

Metadata

Assignees

No one assigned

    Labels

    No labels
    No labels

    Type

    No type

    Projects

    No projects

    Milestone

    No milestone

    Relationships

    None yet

    Development

    No branches or pull requests

    Issue actions