01
True or false
1 point
In clustering, the examples are grouped using patterns in their features rather than target labels supplied as correct answers. Is this statement true or false?
Free Practice Quiz Question List
6 Clustering Online Quiz Questions
Use this free practice quiz with 20 questions to review 6 Clustering, test your knowledge, and prepare for your next test or exam.
20 questions
02
Choose one
1 point
A retailer has customer data but no existing customer-type labels. Which task would clustering be suited to?
- A
Assign each customer to a known customer type supplied as a target label.
- B
Discover groups of customers with similar feature patterns.
- C
Predict each customer's future purchase value from labeled examples.
- D
Rank customers by the importance of their cluster number.
03
Fill in the blank
1 point
Purchase frequency, average order value, and product preferences are examples of customer used in clustering.
04
Choose all
1 point
Which are supported ways to use clustering results? Select all correct answers.
- A
Explore possible patterns or subgroups in data.
- B
Prove that discovered groups are naturally occurring categories.
- C
Summarize many examples using a smaller number of group profiles.
- D
Use group membership as one input to further analysis or decisions.
05
Written response
1 point
What is the chosen measure that determines which examples a clustering method treats as similar?
06
Choose one
1 point
Which statement best describes the usual goal of a clustering method?
- A
Make every cluster contain the same number of examples.
- B
Make examples in different clusters more alike than examples in the same cluster.
- C
Make examples within a cluster more alike than examples in different clusters.
- D
Ensure every cluster corresponds to a known target category.
07
True or false
1 point
A cluster labeled 0 is inherently more important than a cluster labeled 1. Is this statement true or false?
- A
True
- B
False
08
Written response
1 point
To describe what distinguishes a particular cluster, what should an analyst examine in its members?
09
Fill in the blank
1 point
Depending on the method, clustering may identify examples that do not fit well into any .
10
Choose one
1 point
Which statement about choosing the number of clusters is accurate?
- A
Every clustering method requires the number of clusters to be selected beforehand.
- B
Some clustering methods require the number of clusters to be selected beforehand, while others do not.
- C
No clustering method can form groups unless target labels are provided.
- D
The cluster count is determined by the numerical values assigned to cluster IDs.
11
Choose all
1 point
Which choices can lead to different clustering results? Select all correct answers.
- A
Which features are included.
- B
The arbitrary numbers assigned as cluster IDs.
- C
How features are represented or scaled.
- D
What counts as similar.
12
Open ended
1 point
A retailer finds a cluster whose members often purchase but have a low average order value. Explain what this profile can tell the retailer and what it does not prove about the customers.
13
Choose one
1 point
What can internal measures and visualizations establish about clustering results?
- A
A strong internal measure proves the groups are meaningful for the intended purpose.
- B
Internal measures can help assess separation or compactness, but contextual meaning requires more than those measures.
- C
Without known correct labels, no assessment of clustering results is possible.
- D
A visualization alone establishes that the groups are useful.
14
True or false
1 point
When appropriate, checking whether clusters remain reasonably consistent as choices or samples change can help assess them. Is this statement true or false?
- A
True
- B
False
15
Choose one
1 point
A retailer wants to group customers using purchase frequency and product preferences. Its dataset has no customer-type labels. Which description best fits this task?
- A
Supervised learning, because the method assigns groups to examples
- B
Unsupervised learning, because the examples have no target labels
- C
Supervised learning, because purchase data always contains labels
- D
Neither, because grouping examples is not a learning task
16
Choose one
1 point
When a clustering method assigns examples to groups, what is its general goal?
- A
Make every cluster contain the same number of examples
- B
Reproduce categories supplied as correct labels
- C
Group examples so that within-cluster examples are more alike according to a chosen similarity measure
- D
Ensure that every example belongs to a naturally occurring, permanent category
17
Choose one
1 point
An analyst adds a feature and rescales another before rerunning a clustering method. Why might the resulting groups differ?
- A
The features or their scaling can change what counts as similar and produce different groupings
- B
The cluster IDs are recalculated alphabetically, changing the underlying similarity
- C
Unsupervised methods always ignore features that have different scales
- D
The number of examples alone determines which features are similar
18
Choose one
1 point
An analyst sees clusters labeled 0 and 1. What can the analyst conclude from those IDs alone?
- A
Cluster 0 must represent the largest group
- B
Cluster 1 is always the most important group
- C
A higher cluster number means a stronger pattern
- D
The numbers are labels and do not imply importance or meaning
19
Written response
1 point
A method discovers groups from feature patterns in examples that have no target labels. What learning approach is this?
20
Written response
1 point
To describe what distinguishes a discovered cluster, what should an analyst examine among its members?