Q110
This clustering algorithm initially assumes that each data instance represents a single cluster.
A.
agglomerative clustering
AnswerB.
conceptual clustering
C.
k-means clustering
D.
expectation maximization
Answer: Option A
Solution
Answer: Option A
Solution:
Agglomerative clustering is a type of hierarchical clustering technique.Initially, each data instance is considered as a separate cluster.
Clusters are merged step by step based on a defined similarity measure.
This process continues until all data points form a single cluster or meet a stopping criterion.
Key Point: It is a bottom-up approach to clustering.