… as prototypes for clustering text documents with the k-means … searched that partitions the
document into k disjoint clusters. … feature subspace in which each document class can be better …

… disjoint, but similar, set of items from the set on which actual preferences have been made.
This class of … For example, document-term matrices are used to represent text objects such as …

… of distinct classes, or topics, that exist in a set of documents \(\… coherent contiguous regions
of text in a document, we adopt … document, we consider algorithms that produce both disjoint …

… document class for classification as a document concept here, document class and document
… [15] tried to fill up those missing values of disjoint features to drive the marginal distribu…

… To allow an assignment of any document to multiple classes, we introduce the decision rule
… disjoint data set, but not for a data set which contains documents belonging multiple classes. …

… With the rapid growth of text documents, document clustering … cluster) and produce a set of
disjoint clusters. Soft clustering … : this document set is a combination of the four classes CACM, …

… document class for classification as a document concept here, document class and document
… Since we know the class label of each document in the source domains, we actually know …

… set of documents into disjoint clusters where documents in … Document clustering or
Text categorization is closely related … we found the documents distributed into some class/category …

… We believe that the genre or style of text in a document can … clear boundaries and need not
be disjoint. For a given subject … The first genre class we investigate is whether a document is …

… to obtain four different disjoint classes describing entities that (A) contain both text and … text
(po:Bucket), (C) contain text but do not contain substructures (po:Flat), (D) do not contain text, …