Presentation 2013-01-21
Cross Coding Based On LZ78 Code and its Application
Takahito KASHIHARA, Yasutada OOHAMA,
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Abstract(in English) Takeuchi and Oohama proposed a universal similarity metric based on a new encoding method called the cross coding. They apply this metric to the data clustering and evaluated its effectiveness. The cross coding proposed by them is based on an online adaptive data compression scheme using the context tree model. In this paper we propose a new cross coding based on an online adaptive data compression scheme proposed by Lempel and Ziv in 1978. This data compression scheme uses a dictionary computed from the text data. Application of our method to the data clustering is also discussed.
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Keyword(in English) Cross Coding / LZ78 Code / universal similarity metric / Normalized Compression Distance / Cross Coding Distance
Paper # IT2012-57
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Committee IT
Conference Date 2013/1/14(1days)
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Registration To Information Theory (IT)
Language JPN
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) Cross Coding Based On LZ78 Code and its Application
Sub Title (in English)
Keyword(1) Cross Coding
Keyword(2) LZ78 Code
Keyword(3) universal similarity metric
Keyword(4) Normalized Compression Distance
Keyword(5) Cross Coding Distance
1st Author's Name Takahito KASHIHARA
1st Author's Affiliation Graduate School of Advanced Technology and Science, The University of Tokushima()
2nd Author's Name Yasutada OOHAMA
2nd Author's Affiliation University of Electro-Communications
Date 2013-01-21
Paper # IT2012-57
Volume (vol) vol.112
Number (no) 382
Page pp.pp.-
#Pages 6
Date of Issue