Question

In the context of satellite image classification, which of the following statement is CORRECT?

• A. \( \text{Both ANN and Fuzzy C-means clustering are parametric classifiers} \)
• B. \( \text{Both ANN and Fuzzy C-means clustering are non-parametric classifiers} \)
• C. \( \text{ANN cannot be both supervised and unsupervised classification method} \)
• D. \( \text{Fuzzy C-means clustering is a supervised classification method} \)

Hint:

Remember that non-parametric methods are data-driven and make fewer assumptions about the underlying data distribution.

Answer 1

The Correct Option is B

\begin{itemize} \item Artificial Neural Networks (ANN) are generally considered non-parametric classifiers as they do not make strong assumptions about the statistical distribution of the data. They learn complex patterns directly from the training data. ANNs can be used for both supervised and unsupervised classification. \item Fuzzy C-means clustering is an unsupervised, non-parametric clustering algorithm that allows data points to belong to more than one cluster with varying degrees of membership. It does not rely on predefined statistical distributions. \end{itemize} Therefore, the correct statement is that both ANN and Fuzzy C-means clustering are non-parametric classifiers.