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Fuzzy Sets In Information Retrieval And Cluster Analysis (theory And Decision Library D:) by Sadaaki Miyamoto (auth.) is a mathematics available to read on EtoBox.
What is Fuzzy Sets In Information Retrieval And Cluster Analysis (theory And Decision Library D:) about?
The present monograph intends to establish a solid link among three fields: fuzzy set theory, information retrieval, and cluster analysis. Fuzzy set theory supplies new concepts and methods for the other two fields, and provides a common frame work within which they can be reorganized. Four principal groups of readers are assumed: researchers or students who are interested in (a) application of fuzzy sets, (b) theory of information retrieval or bibliographic databases, (c) hierarchical clusterin
Who reads Fuzzy Sets In Information Retrieval And Cluster Analysis (theory And Decision Library D:)?
It is typically read by self-directed learners exploring a subject in depth.
Common subject areas: history, science, philosophy, social sciences.
- Author
- Sadaaki Miyamoto (auth.)
- Publisher
- Springer Netherlands
- Published
- 1990
- Language
- EN
- ISBN
- 9789048140671
- Category
- mathematics
- Subjects
- Science, Mathematics, Language
- Updated
- 2026-03-25
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