An organization wants to group customers into segments based on similarities in their behavior, but they don't have labeled data.
Which machine learning technique should they utilize?
Regression
Clustering
Time Series Analysis
Classification
Clustering - This is the correct answer. Clustering is an unsupervised machine learning technique used to group data into segments based on similarities without requiring labeled data. It is ideal for grouping customers into segments based on their behavior.
Regression is used for predicting continuous numerical values based on input features, not for grouping data or segmenting customers.
Classification is a supervised learning technique where the goal is to categorize data into predefined classes. It requires labeled data, which is not available in this case.
Time Series Analysis is used to analyze data that is collected over time (e.g., stock prices, sales data) to identify trends or patterns. It is not focused on segmenting data into groups based on behavior.
Bash is our AI bot, trained to help you pass your exam. AI Generated Content may display inaccurate information, always double-check anything important.
All IT & Cybersecurity Package plans include the following perks and exams .
Our pricing is simple. Full access to all certifications and exams in each package, for one price.
As many practice tests for as many topics as you want.
Use study mode non-stop, no limits.
Access to our AI assistant, Bash, trained to help you pass your exam.
Track your scores over time in study mode and report cards.
See how you improve over time, and where you need to focus.
Access our store with even bigger discounts than before.
Unlimited access to all performance questions and be prepared for the real thing.
All IT & Cybersecurity Package plans include unlimited access to the following study materials.
Create an account or sign in to access our study materials.