Revolutionizing Data Analysis: K-means Clustering Unlocks Big Data Insights
Clustering techniques are important in data analysis for grouping similar data points together. The K-means algorithm is commonly used due to its simplicity and quick results. This article explores various applications, challenges, and methodologies of clustering methods, especially with big data. The main goal is to identify patterns in data by analyzing sample data.