How Do You Find Tutorials On Cluster Discriminant Analysis?
Cluster discriminant analysis is a specialized form of statistical concept that you can use to help you augment the quantitative part of your research work especially if you are working with a lot of existing variables. After a very heavy task of surveying a lot of objects and sampling a large scope, the next question you might be asking now is how you are going to analyze your collected data. Cluster discriminant analysis is one such method that you can use. Here are ways in which you can find quick tutorials on cluster discriminant analysis to help you in your research: Background information. Before you appreciate the tutorials, you will need background information. A good resource you can begin with is Jean Yee Hwa Yang’s lecture on Clustering and Classification and the book resource from Statsof
