Grid-Based Clustering with Uniform Density

Using SAS Studio Please do the following.

Algorithm 8.4 Basic grid-based clustering algorithm.

1. Define a set of grid cells.
2. Assign objects to the appropriate cells and compute the density of each cell.
3. Eliminate cells having a density below a specified threshold.
4. Form clusters from contiguous (adjacent) groups of dense cells.

Complete the following tasks:

1. Upload the dataset file simulation.csv (Links to an external site.) from the Module 6 to SAS Studio. The first 200 observations in the dataset were generated from a uniform distribution over a circle centered at (2,3) of radius 2, and the next 100 observations were generated from a uniform distribution over a circle centered at (6,3) of radius 1.
2. By writing appropriate SAS code, produce a scatterplot of the data.
3. By writing appropriate SAS code, generate the point counts for grid cells. It should have 49 cells using a 7-by-7 grid.

For each part, take the screenshots of the SAS code(s) and SAS output(s) and paste them into a Word document. Include all relevant calculations and your answers to all assignment items.

Simulation dataset included.