1. of a set of points is defined using a distance measure .
View Answer
Similarity
2. Each point is a cluster in itself. We then combine the two nearest clusters into one. What type of clustering does this represent ?
View Answer
Agglo
3. Unsupervised learning focuses on understanding the data and its underlying pattern.
View Answer
True
4. Members of the same cluster are far away / distant from each other .
View Answer
False
5. The ______ is a visual representation of how the data points are merged to form clusters.
View Answer
Dendogram
1. What is a preferred distance measure while dealing with sets ?
View Answer
Jaccard
2. Each point is a cluster in itself. We then combine the two nearest clusters into one. What type of clustering does this represent ?
View Answer
Agglomerative
3. Which learning is the method of finding structure in the data without labels.
View Answer
Unsupervised
4. ____________ of a set of points is defined using a distance measure .
View Answer
Similarity
5. Members of the same cluster are far away / distant from each other .
View Answer
False
