_______ is a technique in unsupervised learning used to reduce the dimensionality of data.
- Decision Trees
- K-Means Clustering
- Principal Component Analysis (PCA)
- Support Vector Machines (SVM)
Principal Component Analysis (PCA) is a technique in unsupervised learning used to reduce the dimensionality of data by transforming it into a set of linearly uncorrelated variables known as principal components.
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