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Interactive Document Clustering System Based on Coordinated Multiple Views
Author(s) -
Yasufumi Takama,
Takuma Tonegawa
Publication year - 2016
Publication title -
journal of advanced computational intelligence and intelligent informatics
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.172
H-Index - 20
eISSN - 1343-0130
pISSN - 1883-8014
DOI - 10.20965/jaciii.2016.p0139
Subject(s) - computer science , document clustering , cluster analysis , information retrieval , set (abstract data type) , object (grammar) , data mining , document retrieval , document management system , artificial intelligence , programming language
This paper proposes an interactive document clustering system based on coordinated multiple views (CMV). Recently, the amount of documents has become extremely large, which makes it difficult for a user to under-stand relationship between documents and topics mentioned in a set of documents. In order to support a user, interactive clustering is a promising approach. When designing an interactive clustering system, it should be considered that a user has to examine clustering result from various levels such as clusters, documents, and words. The proposed system divides documents into four levels and displays each level in parallel with different views. By designing coordination among those views, a user can understand document information from various levels and perform interactive clustering efficiently.

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