Dimensionality reduction is the process of converting data of very high dimensionality (many attributes) into data of much lower dimensionality such that each of the lower dimensions conveys much more

Dimensionality reduction is the process of converting data of very high dimensionality (many attributes) into data of much lower dimensionality such that each of the lower dimensions conveys much more information. Dimensionality reduction improved the performance of data analysis algorithms in terms of speed and better results.

Choose four data preparation and transformation methods and write a comparative study on them. Refer to the assigned readings. In addition, you are also required to conduct your own search to learn about data normalization techniques, data type conversion, and attribute and instance selection.

While APA style is not required for the body of this assignment, solid academic writing is expected, and documentation of sources should be presented using APA formatting guidelines, which can be found in the APA Style Guide, located in the Student Success Center.