What type of data is best suited for clustering algorithms?
Practice Questions
Q1
What type of data is best suited for clustering algorithms?
Labeled data
Unlabeled data
Time series data
Sequential data
Questions & Step-by-Step Solutions
What type of data is best suited for clustering algorithms?
Step 1: Understand what clustering algorithms do. They group similar data points together.
Step 2: Know that clustering algorithms work best with data that does not have labels. This means the data is 'unlabeled'.
Step 3: Identify the type of data that is suitable for clustering. This can include numerical data (like height, weight) or categorical data (like colors, types of animals).
Step 4: Realize that the data should have some inherent structure or patterns that the algorithm can discover.
Step 5: Remember that clustering is about finding groups based on similarities, so the data should have features that can be compared.
