Hierarchical clustering is sensitive to the ______________ of the data.Select one:a.All of the aboveb.Outliersc.Scaled.Variance
Question
Hierarchical clustering is sensitive to the ______________ of the data.
Select one:
- a. All of the above
- b. Outliers
- c. Scaled.
- d. Variance
Solution
Break Down the Problem
- Identify the options given in the question.
- Understand the impact of each option on hierarchical clustering.
Relevant Concepts
- Hierarchical clustering: A method of cluster analysis that seeks to build a hierarchy of clusters.
- Sensitivity: Refers to how the results of hierarchical clustering can be affected by different aspects of the data.
Analysis and Detail
- Outliers: Hierarchical clustering can be significantly affected by outliers because they can distort the distances and therefore the clustering results.
- Scaled: The scale of the data can also impact clustering since hierarchical methods often depend on distance metrics. If features have different scales, they can disproportionately influence the clustering result.
- Variance: Similarly, differences in variance across features can affect the distance calculations used in clustering.
Verify and Summarize
- Since hierarchical clustering is influenced by outliers, the scale of the data, and variance, it is indeed sensitive to all these aspects.
Final Answer
The correct option is a. All of the above.
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