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Dimensionality reduction is process of converting data

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Reference no: EM132770120

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.

Reference no: EM132770120

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