New Study Reveals Best Clustering Algorithm for Big Data Analysis
The article compares different clustering algorithms to see which one is best for grouping large and complex datasets. They looked at K Means, Mini-Batch K Means, Hierarchical clustering, Bagging, and Boosting. After cleaning the data, they found that K Means with Local Clustering Coefficient performed the best out of all the algorithms tested.