Dimensionality Reduction – Data Mining Fundamentals Part 14

Dimensionality reduction has a specific purpose for data preprocessing. When dimensionality increases, data becomes increasingly sparse in the space that it occupies. Dimensionality reduction will help you avoid this.

Part 15:
Feature Subset Selection

Part 13:
Types of Sampling

Complete Series:
Data Mining Fundamentals

More Data Science Material:
[Video] Event Log Mining with R
[Blog] Custom R Models in Azure Machine Learning

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