In data mining, discuss clusters of documents

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In data mining, discuss clusters of documents

Original content please, only need about 200 words.

Clusters of documents can be summarized by finding the top terms (words) for the documents in the cluster, e.g., by taking the most frequent k terms, where k is constant, say 10, or by taking all terms that occur more frequently than a specified threshold. Suppose that K-means is used to find clusters of both documents and words for a document data set.

  • How might a set of term clusters defined by the terms in a document cluster differ from the word clusters found by clustering the terms with K-means?
  • How could term clustering be used to define clusters of documents?

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