Joshua Howard created SPARK-17459:
-------------------------------------
Summary: Add Linear Discriminant to dimensionality reduction
algorithms
Key: SPARK-17459
URL: https://issues.apache.org/jira/browse/SPARK-17459
Project: Spark
Issue Type: Improvement
Components: ML, MLlib
Reporter: Joshua Howard
Priority: Minor
The goal is to add linear discriminant analysis as a method of dimensionality
reduction. The algorithm and code are very similar to PCA, but instead project
the data set onto vectors that provide class separation. LDA is a more
effective alternative to PCA in terms of preprocessing for classification
algorithms.
--
This message was sent by Atlassian JIRA
(v6.3.4#6332)
---------------------------------------------------------------------
To unsubscribe, e-mail: issues-unsubscr...@spark.apache.org
For additional commands, e-mail: issues-h...@spark.apache.org
