Semi-Supervised Clustering with K-means
Clustering is the process of grouping a collection of examples, i.e. data vectors, without class labels into distinct groups such that examples grouped together are similar to each other.
From Data to Decisions
Clustering is the process of grouping a collection of examples, i.e. data vectors, without class labels into distinct groups such that examples grouped together are similar to each other.
While performing clustering, it is not uncommon to try a few different clustering methods. In such situations, we want to find out how similar are the results produced by.