Consider the following statements
- C-Fuzzy means clustering is a supervised method of learning
- PCA is used for dimension reduction
- Apriori is not a supervised technique
- When a machine learning model becomes so specially tuned to its exact input data that it fails to generalize to other similar data it is called underfitting
Choose the correct answer from the options given below:
- $\text{A}$ and $\text{B}$
- $\mathrm{B}$ and $\mathrm{C}$
- $\text{C}$ and $\text{D}$
- $\mathrm{D}$ and $\mathrm{A}$
