Independent variable is something which provides information regarding the problem we are solving.
When there is no dependent variable, we are generally solving a unsupervised problem which do not have
any labels associated with the every row of information beforehand.
Like K-means clustering, we start with the independent variables and then explore the data to identify
clusters.
In mathematical terms, an independent variable is one whose variation is not affected by other variables.
If there are no dependent variables in a dataset, we have to consider it as an unsupervised type of learning, where instead of predicting a depend on variables, we basically find patterns in a dataset through clustering methods
Answers ( 2 )
Independent variable is something which provides information regarding the problem we are solving.
When there is no dependent variable, we are generally solving a unsupervised problem which do not have
any labels associated with the every row of information beforehand.
Like K-means clustering, we start with the independent variables and then explore the data to identify
clusters.
In mathematical terms, an independent variable is one whose variation is not affected by other variables.
If there are no dependent variables in a dataset, we have to consider it as an unsupervised type of learning, where instead of predicting a depend on variables, we basically find patterns in a dataset through clustering methods