State the differences between classification and clustering. Write an algorithm of K-Means clustering. Explain the algorithm with the help of an example.
Classification and clustering are two distinct techniques in the field of data analysis and machine learning, particularly when it comes to managing and analyzing data in advanced database management systems.
1. Differences between Classification and Clustering:
- Objective:
- Classification: The main goal of classification is to assign data points to predefined categories or classes based on their features. It is a supervised learning technique.
- Clustering: Clustering aims to group similar data points into clusters without any prior knowledge of _____ _______ ______ __________ ___.
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