clustering_weighted_2009_vt

clustering_weighted_2009_vt, the LaTeX source for a classroom presentation on weighted and continuous, given 25 September 2009, Issues in Scientific Computing, Virginia Tech.

• clustering_weighted_2009_vt.tex
• clustering_weighted_2009_vt.pdf

The following files constitute the LaTeX file:

• center_of_mass.png, a PNG image of a center of mass.
• centroid.png, a PNG image of a centroid.
• circle_nonuniform.png, a PNG image of generators in a circle distributed with a nonuniform density.
• ckmeans.m, the skeleton main program of a continuous K-Means program.
• cvt_ellipse_uniform.png, a PNG image of generators in an ellipse, distributed with a uniform density.
• cvt_movie4_0001.png, a PNG image of frame 1 of a CVT computation.
• cvt_movie4_0005.png, a PNG image of frame 5 of a CVT computation.
• cvt_movie4_0050.png, a PNG image of frame 50 of a CVT computation.
• cvt_square_uniform.png, a PNG image of generators in a square, distributed with a uniform density.
• cvt_triangle_uniform.png, a PNG image of generators in a triangle, distributed with a uniform density.
• eagle.jpg, a JPG image of a poster describing a project in finding representative images from a collection.
• eagle100.png, a PNG image of 100 images in a collection.
• eagle30.png, a PNG image of the 30 and the 5 most representative images from the collection.
• square_centroids.png, a PNG image of the centroids of subregions of a square.
• square_initial.png, a PNG image of the initial centers of subregions of a square.
• square_vd01.png, a PNG image of step 1 of a Voronoi/Delaunay calculation in the square.
• square_vd05.png, a PNG image of step 5 of a Voronoi/Delaunay calculation in the square.
• square_vd50.png, a PNG image of step 50 of a Voronoi/Delaunay calculation in the square.
• wkmeans.m, the skeleton main MATLAB program of a weighted K-Means algorithm.
• vt_logo.pdf, a PDF file of a logo.
• wkmeans_update_centers.m, the MATLAB program to update the centers of a weighted K-Means algorithm.
• wkmeans_variance.m, the MATLAB program to compute the variance for a weighted K-Means algorithm.