. What is similarity matching? 3. Discuss how we can show similarity on a two di
ID: 3586561 • Letter: #
Question
. What is similarity matching?
3. Discuss how we can show similarity on a two dimensional graph.
4. How can we make similarity matching more or less sensitive to outliers?
5. What is the voting method used in similarity matching?
6. How are weights added to the voting method?
7. What is clustering?
8. Why is clustering referred to as iterative?
9. Why do we sometimes measure surrogates rather than we'd really like to measure?
10. Discuss potential problems with using classification accuracy as the main metric for classification.
Explanation / Answer
Q1.What is similarity matching?
A1.Similarity matching tries to recognize similar individuals based on the information known about them. If two entities (products, services, companies) are similar in some way they share other characteristics as well.
Q2. What is the voting method used in similarity matching?
A2. SImilarity VOting method emphasizes the coexisting features between similar actions and will rely on the decriminative power of the descriptor to achieve high accuracy.
Q3. What is clustering?
A3. Clustering is the task of grouping a set of objects in such a way that objects in the same group (called a cluster) are more similar (in some sense or another) to each other than to those in other groups (clusters).
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