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Cluster analysis or clustering is the task of grouping a set of objects in such a way that objects in the same group (called a cluster) are more similar (in some sense or another) to each other than to those in other groups (clusters). It is a main task of exploratory data mining, and a common technique for statistical data analysis, used in many fields, including machine learning, pattern recognition, image analysis, information retrieval etc.

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Overfitting in an unsupervised technique

Example for clustering For clustering this means the clusters you are finding only exist in your dataset and can't be seen in new data. … Your algorithm is overfitting, your clustering is too fine (e.g. your k is too small for k-means) because you are finding groupings that are only noise. …
Simon Boehm's user avatar