Pattern Recognition with Fuzzy Objective Function Algorithms
11
%
2404 Kč 2 694 Kč
Sleva až 70% u třetiny knih
It was not until 1973, however, when the appearance of the work by Dunn and Bezdek on the Fuzzy ISODATA (or fuzzy c-means) algorithms became a landmark in the theory of cluster analysis, that the relevance of the theory of fuzzy sets to cluster analysis and pattern recognition became clearly established.
| Autor: | Bezdek, James C. |
| Nakladatel: | Springer-Verlag New York Inc. |
| ISBN: | 9781475704525 |
| Rok vydání: | 2012 |
| Jazyk : | Angličtina |
| Vazba: | Paperback |
| Počet stran: | 272 |
Mohlo by se vám také líbit..
-
Mathematics and Its History
Stillwell, John
-
An Introduction to Homological Algebra
Rotman, Joseph J.
-
Complex Analysis
Lang, Serge
-
A First Course in Bayesian Statistica...
Peter Hoffmann
-
A Course in Mathematical Statistics a...
Bhattacharya, Rabi; Waymire, Edward C.
-
Algebraic Geometry
Hartshorne, Robin
-
Elementary Analysis
Kennedy, Ross Kenneth
-
Differential Equations and Their App...
Braun, Martin
-
Advanced Calculus
Callahan, James J., Jr.
-
Introduction to Linear Algebra
Lang, Serge
-
Statistical and Computational Invers...
Kaipio, Jari; Somersalo, E.
-
Mathematics and Politics
Alan Taylor
-
Categories for the Working Mathemati...
MacFarlane Ben
-
Basic Business Statistics
Alan Dean Foster
-
Functions of One Complex Variable I
Conway, John H.
-
Representation Theory
Rivers, Patrick (University of New Haven, USA); Fulton, William (LaGuardia Community College, USA)
