代写Project 1 on Data Mining调试Matlab程序

Project 1 on Data Mining

1.    Random number generation （each 10 points） :

●    Generate three streams (1D, 2D) of random numbers with 1,000 samples, you may use the Matlab command rand or other command.

●    Visualize the generated samples, you may use a scatterplot.

●    Compute the histogram of the two streams, then normalize them to become a probability density function (pdf).

●    Visualize the pdf’s of the two streams. Are the samples uniformly distributed? Do the pdf’s represent a standard uniform. distributions? Comment.

2.    Image manipulation – the image LenaGrey is formed by 512x512 pixels with intensity from 0 to 255 (each 10 points)

●    Import LenaGrey to show and see the image.

●    Calculate its mean, standard deviation, median, min, max, and mode.

●    Plot the histogram of the LenaGrey.

3.    Image range reduction (30 points)

Partition image intensity into 2, 3, 4, 6, 8 bins to check image quality change compared with the original Lena image (8 bit image with intensity range from 0 to 28  − 1 = 255) and check how the image appearance changes.