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Clustering with non numeric data

@machinelearnbotOct-16-2016, 07:45:59 GMT

I assume that you have a mixed dataset which has both numeric and non-numeric data types. In such cases, clustering based on a Euclidean distance measures will not be relevant. You could try conceptual clustering techniques which are based on concept hierarchy. The technique, called conceptual clustering, subdivides the data incrementally into subgroups based on a probabilistic measure known as "COHESION". A partition score is computed based on a category utility measure at each branch in concept hierarchy.

artificial intelligence, machine learning, non numeric data, (3 more...)

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Technology: Information Technology > Artificial Intelligence > Machine Learning (0.98)

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