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Lecture
Structure Discovery: Tracing Student Knowledge
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Related lectures (33)
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Clustering & Density Estimation
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Covers unsupervised learning with PCA and K-means for dimensionality reduction and data clustering.
Clustering: Hierarchical and K-means Methods
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Introduces unsupervised learning through clustering with K-means and dimensionality reduction using PCA, along with practical examples.
Characterisation of Clusters: Homogeneity, Separability
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Predicting Rainfall: Miniproject BIO-322
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Unsupervised Learning: Dimensionality Reduction and Clustering
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