Distance Based Linkage Methods Quiz

1) In single linkage, the distance between two clusters is defined as

• A. The maximum distance between any pair of points from the two clusters

• B. The minimum distance between any pair of points from the two clusters

• C. The average distance between all pairs of points from the two clusters

• D. The distance between the centroids of the two clusters

2) In complete linkage, the distance between two clusters is defined as:

• A. The maximum distance between any pair of points from the two clusters

• B. The minimum distance between any pair of points from the two clusters

• C. The average distance between all pairs of points from the two clusters

• D. The distance between the centroids of the two clusters

3) Average linkage is also known as:

• A. Single-linkage

• B. Complete-linkage

• C. Group average linkage

• D. Ward's method

4) The method that uses the average distance between all pairs of points from two clusters is known as:

• A. Single-linkage

• B. Complete-linkage

• C. Average linkage

• D. Centroid linkage

5) Which of the following methods is most sensitive to outliers?

• A. Single-linkage

• B. Complete-linkage

• C. Average linkage

• D. Ward's method

6) In hierarchical clustering, which linkage method tends to create elongated clusters?

• A. Single-linkage

• B. Complete-linkage

• C. Average linkage

• D. Ward's method

7) Which clustering method is known for minimizing the maximum distance between clusters?

• A. Single-linkage

• B. Complete-linkage

• C. Average linkage

• D. Centroid linkage

8) What is the primary advantage of using Ward's method in hierarchical clustering?

• A. It creates spherical clusters

• B. It is less sensitive to outliers

• C. It requires fewer computations

• D. It can handle large datasets efficiently

9) In which scenario would single-linkage clustering be most appropriate?

• A. When clusters are expected to be compact and spherical

• B. When elongated clusters are desired

• C. When the data contains many outliers

• D. When the number of clusters is predetermined

10) Which clustering method is best suited for identifying clusters of varying shapes and sizes?

• A. K-means

• B. DBSCAN

• C. Hierarchical clustering

• D. Gaussian Mixture Models