I have 1D data. I want to classify the data to $N$ cluster. The two common ways can use
- Using the mean/average value as a criterion to classify
- Assumption that the data follows a distribution with mean and variance. Then use mean and variance as criterions to classify
My question is that: Can I say that first method (using mean) is Non-parametric statistics method and second method( mean and variance) is Parametric statistics? Is it right?