Centroid

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Mathematics
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Euclidean geometry

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Related lectures (30)

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Distributed Forces: Center of Mass and Centroids

Covers distributed forces, centroids, and center of mass calculations for various shapes and composite bodies.

Beams: Internal Forces and Stress Resultants

Covers the fundamentals of beams, including types, stress resultants, and internal load diagrams.

Clustering: Unsupervised Learning

Covers clustering algorithms, evaluation methods, and practical applications in machine learning.

Geometric Projections: Orthogonal and Monge Projections

Covers orthogonal and Monge projections in descriptive geometry, focusing on geometric properties and visualization techniques.

Spectroscopy Basics

Covers the fundamentals of spectroscopy and its applications in various fields.

Clustering: Principles and Methods

Covers the principles and methods of clustering in machine learning, including similarity measures, PCA projection, K-means, and initialization impact.

Clustering: k-means

Explains k-means clustering, assigning data points to clusters based on proximity and minimizing squared distances within clusters.

Numerical Analysis: Stability in ODEs

Covers the stability analysis of ODEs using numerical methods and discusses stability conditions.

Characterisation of Clusters: Homogeneity, Separability

Explores centroid, medoid, homogeneity, separability in clustering, quality evaluation, stability, expert knowledge, and clustering algorithms.

Bending Beams: Moment of Inertia and Stress Analysis

Explores moment of inertia in bending beams and stress analysis for beam sections.