Unsupervised Learning (2)
Principal Components Analysis (PCA)
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Math, Data Science, Machine Learning, Unsupervised Learning
Principal component analysis (PCA) is a classic multivariate analysis method and a technique based on orthogonal transformation. Reduce the dimension while preserving the feature of the data as much as possible. Often used for data visualization and dealing with multicollinearity issues.
Latent Dirichlet Allocation (LDA)
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Math, Data Science, Machine Learning, Text Mining, Unsupervised Learning, Latent Dirichlet Allocation (LDA)
Performing natural language processing through hierarchies, introducing latent Dirichlet allocation (LDA).