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Back to topGene clustering rough computing (Paperback)
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Description
Clustering is the process of grouping data objects into a set of disjoint classes, called clusters, so that objects within a cluster have high
similarity to each other, while objects in other clusters are more dissimilar. Clustering is an example of unsupervised classification.
"Classification" refers to a procedure that assigns data objects to a set of predefined classes. "Unsupervised" means that clustering does not rely on predefined classes and training examples while classifying the data objects.