Unsupervised-Machine-Learning Flat Clustering
K-Means clusternig example with Python and Scikit-learn
Flat clustering
Clustering algorithms group a set of documents into subsets or clusters . The algorithms' goal is to create clusters that are coherent internally, but clearly different from each other. In other words, documents within a cluster should be as similar as possible; and documents in one cluster should be as dissimilar as possible from documents in other clusters.
Hierarchical
Hierarchical clustering is where the machine is allowed to decide how many clusters to create based on its own algorithms.
İmages
Setup
After downloading the required modules, run the file. You can play on it as much as you want.
