Principal Components Analysis

Related lectures (29)

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Covers unsupervised learning with a focus on Principal Component Analysis and the Singular Value Decomposition.

Covers Principal Component Analysis for dimension reduction in biological data, focusing on visualization and pattern identification.

Explores the advantages, classification, and future prospects of Swiss hydropower, including its role as a 'battery' for energy storage.

Examines small towns in France and Europe, focusing on their vulnerabilities and demographic challenges, particularly regarding aging populations.

Introduces unsupervised learning through clustering with K-means and dimensionality reduction using PCA, along with practical examples.

Explores oak tree features, wood properties, naval construction, and wood modification techniques.

Delves into Europe's geopolitical evolution, empires, urban networks, and economic challenges.

Explores theoretical approaches to mobility planning, big data, environmental impacts, and future prospects in mobility management.

Explores wind energy technologies, installations, benefits, and challenges, highlighting its growth in Europe and potential in Switzerland.

Explores the benefits, features, and future prospects of Swiss hydropower, including challenges and potential by 2050.