Category Machine Learning

Machine Learning – Mini Batch K-Means

In an earlier post, I had described how DBSCAN is way more efficient(in terms of time) at clustering than K-Means clustering. It turns out that there is a modified K-Means algorithm which is far more efficient than the original algorithm. The algorithm is called Mini Batch K-Means clustering. It is mostly useful in web applications […]

Machine Learning – DBSCAN

DBSCAN is a density based clustering algorithm, where the number of clusters are decided depending on the data provided. This is unlike K – Means Clustering, a method for clustering with predefined ‘K’, the number of clusters. Since it is a density based clustering algorithm, some points in the data may not belong to any […]