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Peer reviewed Peer reviewed
Nieto Sanchez, Salvador; Triantaphyllou, Evangelos; Kraft, Donald – Information Processing & Management, 2002
Proposes a new approach for classifying text documents into two disjoint classes. Highlights include a brief overview of document clustering; a data mining approach called the One Clause at a Time (OCAT) algorithm which is based on mathematical logic; vector space model (VSM); and comparing the OCAT to the VSM. (Author/LRW)
Descriptors: Algorithms, Cluster Grouping, Comparative Analysis, Mathematical Logic
Peer reviewed Peer reviewed
Tanaka, Hideki; Kumano, Tadashi; Uratani, Noriyoshi; Ehara, Terumasa – Information Processing & Management, 1999
Presents a document-clustering algorithm that uses a term frequency vector for each document in a Japanese collection to produce a hierarchy in the form of a document classification tree. Introduces an application of this algorithm to a Japanese-to-English translation-aid system. (Author/LRW)
Descriptors: Algorithms, Cluster Grouping, Japanese, Structural Analysis (Linguistics)