Samples, the existing 500 groups of communication signals known to have each group of the mean, variance, and so on other features, how to implement the data with the classifier's classification, use what type of classifier is used?

CodePudding user response:

The problem of uncertain...

CodePudding user response:

Classification is an important method of data mining, the concept of classification is based on the existing data to learn a classification function or a classification model is constructed (we say normally Classifier (Classifier)), the function or model can record the data in the database is mapped to a given category one, which can be used in the data to predict, in short, a Classifier is in data mining method is generally referred to as the classifying sample, include the decision tree, logistic regression, naive bayesian and neural network algorithms, such as
Decision tree classifier, 1. 2. Select the tree classifier, (3) evidence classifier,

CodePudding user response:

Suggested that LZ reading principle of SVM classifier

CodePudding user response:

First to have the classification rules, such as 500 people, is by gender, age, height, or by marital status, presence of children, home address, or occupation, title, employment category?

CodePudding user response:

I am doing this subject, the original poster can share for progress