Khan Academy
Khan Academy: Geometry: Triangle Medians and Centroids
This video tutorial [8:59] reviews the definitions of median and centroid in relation to a triangle and proves that the centroid is two-thirds the way along a median. The proof is done be drawing a triangle in three-dimensions.
Khan Academy
Khan Academy: Geometry: Median Centroid Right Triangle Example
This video tutorial [9:00]explains how to find various measures of triangles formed by the medians of a right triangle. Based on the properties of the medians of a triangle, properties of centroids, and the Pythagorean theorem.
Khan Academy
Khan Academy: Triangles: Proving That the Centroid Is 2 3 Rds Along the Median
This video demonstrates that the centroid divides each median into segments with a 2:1 ratio (or that the centroid is 2/3 along the median).
Khan Academy
Khan Academy: Triangles: Euler Line
A video demonstration of the magic and mystery of the Euler Line.
Khan Academy
Khan Academy: Triangles: Median Centroid Right Triangle Example
This video demonstrates how to find various measures of triangles formed by the medians of a right triangle.
Khan Academy
Khan Academy: Triangles: Review of Triangle Properties
Provides a review of perpendicular bisectors, angle bisectors, medians, and altitudes and the special points of concurrency formed by these parts of a triangle.
Khan Academy
Khan Academy: Triangles: Medians Divide Into Smaller Triangles of Equal Area
Showing that the three medians of a triangle divide it into six smaller triangles of equal area. Also a brief discussion of the centroid is given.
Khan Academy
Khan Academy: Geometry: Euler's Line Proof
Proves that the circumcenter, orthocenter, and centroid all lie on the same line, the Euler line. Proof relies on understanding of properties of similar triangles and properties of special parts of a triangle. [9:50]
Crash Course
Crash Course Statistics #37: Unsupervised Machine Learning
Unsupervised Machine Learning have not true categories to compare in order to predict a future outcome. Therefore, two types of clustering are applied: K-Means and Hierarchical clustering. Centroid, Silhouette Score, Agglomerative...