Definition, Meaning & Synonyms
pca
noun
ˈpiː siː ˈeɪ/
Definition
PCA, or Principal Component Analysis, is a statistical technique used to simplify a dataset by reducing its dimensions while preserving as much variance as possible.
Examples
- The scientist used PCA to analyze the data from the experiment.
- PCA can be applied in facial recognition systems to improve accuracy.
- By employing PCA, researchers revealed underlying structures in the dataset.
Meaning
PCA helps in identifying patterns in data, making it easier to visualize and analyze high-dimensional data by transforming it into a set of orthogonal (uncorrelated) variables known as principal components.
Synonyms
- Dimensionality Reduction
- Feature Extraction
- Data Analysis Technique