Final answer:
Clustering is the most suitable data mining algorithm for creating a collection of similar web pages, as it groups pages based on similarity without needing predefined categories.
Therefore, the correct answer is: option c) Clustering.
Step-by-step explanation:
Clustering algorithms group a set of objects in such a way that objects in the same group (called a cluster) are more similar to each other than to those in other groups (clusters).
In this case. to create a collection of similar types of web pages, the best data mining algorithm to apply would also be clustering.
This method is especially useful when you want to organize web pages into different categories based on similarities without predefined labels.
Techniques used in clustering may include hierarchical, divisive, agglomerative, monothetic, or polythetic approaches, and they can manage both qualitative and quantitative data. It's important to choose a clustering method that aligns with the characteristics of the data being analyzed.