Earth Sciences and Engineering 

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Some applications of cluster analysis in the Physical Sciences and Engineering are as follows:

Astronomers have clustered stars and galaxies, to help develop theories about the origins and evolution of stellar systems.

Chemists have clustered chemical structures, to understand better their biological, physical and chemical properties.

Database Designers have clustered information system elements, to optimize the efficiency of database selection and retrieval operations.

Engineers have designed pattern recognition machines based on cluster analysis logic, to automate the identification of features in satellite imagery, handwritten postcodes, fingerprints, radar signals, mass screening X-rays, and electrocardiograms.

Geologists have clustered borelog samples, to aid stratigraphic mapping in oil and mineral exploration.  Mapping example here.

Physicists have clustered bubble chamber photographs, to classify the tracks made by different charged particles.

Meteorologists have clustered developing weather patterns, to discover common types of sequences for long-range weather forecasting.  Mapping example here.

Soil Scientists have clustered soil samples, to construct soil maps and advise farmers on the suitability of different locations for the cultivation of particular crops.  Mapping example here.

Space Scientists have clustered multi-spectral scanner data, to simplify the attributes which are recorded on spaceflights.