## 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.

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From Data to Decisions

Clustering, machine learning
## 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.

Clustering
## How Similar are Two Clustering Results

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.