11 Questions
What is the main objective of clustering in marketing?
Help marketers discover distinct groups in their customer bases.
In city-planning, how are groups of houses identified?
According to their house type, value, and geographical location.
Why should observed epicenters in earthquake studies be clustered along continent faults?
To understand the distribution and patterns of earthquakes.
What is the purpose of feature selection in clustering?
Selecting information about objects concerning the task of interest.
What factors need to be considered in clustering algorithm and parameters?
Distance and similarity measure, cluster quality criterion, and algorithms.
What is the core task of cluster analysis in data mining?
Finding clusters
How are clusters defined in the context of cluster analysis?
Similar objects in the same cluster, dissimilar objects in different clusters
Why is defining a 'valid' result in clustering challenging?
Results are subjective and in the eye of the beholder
What are some common themes found in attempts to define clusters?
Homogeneity, similarity, and cohesion
What are some properties that clusters may have in clustering algorithms?
Connectivity, separation, least squared deviation, density
Give an example of an application of clustering in biology.
Taxonomy of living things
Explore the concept of clustering in data mining and how it relates to cluster analysis, segmentation, and quantization. Delve into the challenges of precisely defining clusters, different principles, models, and algorithms involved, and the subjectivity of interpreting results.
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