Symbolic Hierarchical Clustering for Pain Vector

Kotoe Katayama, Rui Yamaguchi, Seiya Imoto, Keiko Matsuura, Kenji Watanabe, Satoru Miyano

Research output: Chapter in Book/Report/Conference proceedingChapter

Abstract

We propose a hierarchical clustering in the framework of Symbolic Data Analysis(SDA). SDA was proposed by Diday at the end of the 1980s and is a new approach for analysing huge and complex data. In SDA, an observation is described by not only numerical values but also "higher-level units"; sets, intervals, distributions, etc. Most SDA works have dealt with only intervals as the descriptions. We already proposed "pain distribution" as new type data in SDA. In this paper, we define new "pain vector" as new type data in SDA and propose a hierarchical clustering for this new type data.

Original languageEnglish
Title of host publicationSmart Innovation, Systems and Technologies
Pages117-124
Number of pages8
Volume16
DOIs
Publication statusPublished - 2012

Publication series

NameSmart Innovation, Systems and Technologies
Volume16
ISSN (Print)21903018
ISSN (Electronic)21903026

Fingerprint

Pain
Hierarchical clustering

Keywords

  • Distribution-Valued Data
  • Visual Analogue Scale

ASJC Scopus subject areas

  • Computer Science(all)
  • Decision Sciences(all)

Cite this

Katayama, K., Yamaguchi, R., Imoto, S., Matsuura, K., Watanabe, K., & Miyano, S. (2012). Symbolic Hierarchical Clustering for Pain Vector. In Smart Innovation, Systems and Technologies (Vol. 16, pp. 117-124). (Smart Innovation, Systems and Technologies; Vol. 16). https://doi.org/10.1007/978-3-642-29920-9_13

Symbolic Hierarchical Clustering for Pain Vector. / Katayama, Kotoe; Yamaguchi, Rui; Imoto, Seiya; Matsuura, Keiko; Watanabe, Kenji; Miyano, Satoru.

Smart Innovation, Systems and Technologies. Vol. 16 2012. p. 117-124 (Smart Innovation, Systems and Technologies; Vol. 16).

Research output: Chapter in Book/Report/Conference proceedingChapter

Katayama, K, Yamaguchi, R, Imoto, S, Matsuura, K, Watanabe, K & Miyano, S 2012, Symbolic Hierarchical Clustering for Pain Vector. in Smart Innovation, Systems and Technologies. vol. 16, Smart Innovation, Systems and Technologies, vol. 16, pp. 117-124. https://doi.org/10.1007/978-3-642-29920-9_13
Katayama K, Yamaguchi R, Imoto S, Matsuura K, Watanabe K, Miyano S. Symbolic Hierarchical Clustering for Pain Vector. In Smart Innovation, Systems and Technologies. Vol. 16. 2012. p. 117-124. (Smart Innovation, Systems and Technologies). https://doi.org/10.1007/978-3-642-29920-9_13
Katayama, Kotoe ; Yamaguchi, Rui ; Imoto, Seiya ; Matsuura, Keiko ; Watanabe, Kenji ; Miyano, Satoru. / Symbolic Hierarchical Clustering for Pain Vector. Smart Innovation, Systems and Technologies. Vol. 16 2012. pp. 117-124 (Smart Innovation, Systems and Technologies).
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