Книги з теми "Fuzzy clusters"

Miyamoto, Sadaakio. Fuzzy sets in information retrieval and cluster analysis. Dordrecht: Kluwer Academic Publishers, 1990.

Deimer, Reinhard. Unscharfe Clusteranalysemethoden: Eine problemorientierte Darstellung zur unscharfen Klassifikation gemischter Daten. Idstein: Schulz-Kirchner, 1986.

Frank, Höppner, ed. Fuzzy cluster analysis: Methods for classification, data analysis, and image recognition. Chichester ; New York: J. Wiley, 1999.

Miyamoto, Sadaaki. Algorithms for fuzzy clustering: Methods in c-means clustering with applications. Berlin: Springer, 2008.

Miyamoto, Sadaaki. Fuzzy sets in information retrieval and cluster analysis. Dordrecht: Kluwer Academic, 1990.

Miyamoto, Sadaaki. Fuzzy Sets in Information Retrieval and Cluster Analysis. Dordrecht: Springer Netherlands, 1990.

Miyamoto, Sadaaki. Fuzzy Sets in Information Retrieval and Cluster Analysis. Dordrecht: Springer Netherlands, 1990. http://dx.doi.org/10.1007/978-94-015-7887-5.

Boreiko, Dimitri. EMU and accession countries: Fuzzy cluster analysis of membership. Wien: Oesterreichische Nationalbank, 2002.

1939-, Bezdek James C., ed. Fuzzy models and algorithms for pattern recognition and image processing. Boston: Kluwer Academic Publ., 1999.

Viattchenin, Dmitri A. A heuristic approach to possibilistic clustering: Algorithms and applications. Heidelberg: Springer, 2013.

Lemeshewsky, George. Land cover classification from SPOT multispectral and panchromatic images using neural network classification of fuzzy clustered spectral and textural features. [Reston, VA]: U.S. Geological Survey, 1995.

Fuzzy Sets & their Application to Clustering & Training (CRC Press International Series on Computational Intelligence). CRC, 2000.

Dumitrescu, D., Lakhmi C. Jain, and Beatrice Lazzerini. Fuzzy Sets and Their Application to Clustering and Training. Taylor & Francis Group, 2000.

Fuzzy-Clusteranalyse: Verfahren für die Bilderkennung, Klassifizierung und Datenanalyse. Wiesbaden: Vieweg+Teubner Verlag, 1997.

Höppner, Frank, Frank Klawonn, Thomas Runkler, and Rudolf Kruse. Fuzzy Cluster Analysis: Methods for Classification, Data Analysis and Image Recognition. Wiley, 1999.

Miyamoto, Sadaaki, Hidetomo Ichihashi, and Katsuhiro Honda. Algorithms for Fuzzy Clustering: Methods in c-Means Clustering with Applications. Springer, 2010.

Dumitrescu, D., Lakhmi C. Jain, and Beatrice Lazzerini. Fuzzy Sets and Their Application to Clustering and Training. Taylor & Francis Group, 2000.

Hammah, Reginald Edmund. Intelligent delineation of rock discontinuity data using fuzzy cluster analysis. 1998.

Bezdek, James C. Fuzzy Models for Pattern Recognition: Methods That Search for Structures in Data (Ieee Press Selected Reprint Series). Institute of Electrical & Electronics Enginee, 1992.

1939-, Bezdek James C., Pal Sankar K, and IEEE Neural Networks Council, eds. Fuzzy models for pattern recognition: Methods that search for structures in data. New York: Institute of Electrical and Electronics Engineers, 1992.

Viattchenin, Dmitri A. A. A Heuristic Approach to Possibilistic Clustering: Algorithms and Applications. Springer, 2015.

Fuzzy Methoden in der Wirtschaftsmathematik: Eine Einführung. Wiesbaden: Vieweg+Teubner Verlag, 2002.

Fuzzy Models and Algorithms for Pattern Recognition and Image Processing (The Handbooks of Fuzzy Sets). Springer, 2005.

W, Campbell Janet, Feng Hui, and United States. National Aeronautics and Space Administration., eds. Fuzzy classification of ocean color satellite data for bio-optical algorithm constituent retrievals. [Washington, DC: National Aeronautics and Space Administration, 1998.

W, Campbell Janet, Feng Hui, and United States. National Aeronautics and Space Administration., eds. Fuzzy classification of ocean color satellite data for bio-optical algorithm constituent retrievals. [Washington, DC: National Aeronautics and Space Administration, 1998.

Chaira, Tamalika. Medical Image Processing: Advanced Fuzzy Set Theoretic Techniques. Taylor & Francis Group, 2015.

Chaira, Tamalika. Medical Image Processing: Advanced Fuzzy Set Theoretic Techniques. Taylor & Francis Group, 2015.

Medical Image Processing: Advanced Fuzzy Set Theoretic Techniques. Taylor & Francis Group, 2015.

Chaira, Tamalika. Medical Image Processing. Taylor & Francis Group, 2015.

Chaira, Tamalika. Medical Image Processing. Taylor & Francis Group, 2020.

Ann, Frazier, and Geological Survey (U.S.). National Mapping Division, eds. Land cover classification from SPOT multispectral and panchromatic images using neural network classification of fuzzy clustered spectral and textural features. [Reston, Va.]: U.S. Dept. of the Interior, U.S. Geological Survey, National Mapping Division, 1995.

Land cover classification from SPOT multispectral and panchromatic images using neural network classification of fuzzy clustered spectral and textural features. [Reston, Va.]: U.S. Dept. of the Interior, U.S. Geological Survey, National Mapping Division, 1995.