How would I answer these questions? 30. Clusters of documents can be summarized
ID: 3733316 • Letter: H
Question
How would I answer these questions?
30. 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 a 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 (a) How might a set of term clusters defined by the top terms in a document cluster differ from the word clusters found by clustering the terms with K-means? (b) How could term clustering be used to define clusters of documents?Explanation / Answer
Answer
given by
A)
a set of term clusters confidential by the ways in a essay cluster differ from the word cluster found by cluster the terms by way of K-means”
Cluster can also represent to a group of strategy that work jointly that achieve a parallel function.
Different grid compute, a processor cluster is proscribed through a particular software line up that supervise all the computer and also "nodes" inside the cluster.
The nodes work in cooperation to full a particular task. essay clustering is the software function of cluster study to textual papers.
It has software application in routine document involvement, topic extraction as well as quick information reclamation and also filter.
Mainly essay clustering engages the use of descriptors as well as descriptor origin. The Descriptors are collections of terms that explain the inside inside the cluster.
Mainly the Document cluster is usually measured to be a federal method. Instances of document clustering be full of web document cluster for exploring users.
Word-clusters that imprison nearly all of the common in order regarding the set of papers, and then locate paper clusters, that uphold the information about the word clusters. (Slonim, 2000)
B)
“How could term clustering is used to classify clusters of papers?”
Clustering be applied to classify clusters of documents for the cause that Clustering is applied for similar processing, and also load opposite as well as, fault tolerance.
Mainly Clustering is an in style approach for implementing the same processing applications for the reason that it allows company to influence the savings already made in computer and workstations.
Moreover,
it's comparatively simple to add new CPUs on the whole by addition a latest PC to the complex.
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