A model of cluster and discrimination for fisheries science[J]. 海洋湖沼学报(英文), 1986,4(3):304-312.
Jianyuan, Z. A model of cluster and discrimination for fisheries science., Chin. J. Ocean. Limnol. 4, 304–312 (1986). https://doi.org/10.1007/BF02850416
A model of cluster and discrimination for fisheries science[J]. 海洋湖沼学报(英文), 1986,4(3):304-312. DOI: 10.1007/BF02850416.
Jianyuan, Z. A model of cluster and discrimination for fisheries science., Chin. J. Ocean. Limnol. 4, 304–312 (1986). https://doi.org/10.1007/BF02850416DOI:
A model of cluster and discrimination for fisheries science
摘要
Abstract
The present paper is an introduction of a universal model of cluster and discrimination in the field of fisheries science. The mathematical principle and algorithm are described and the application results analysed. This model is called “weighted generalized distance” method
based on the principle of “minimum distance”. For different types of data
different methods are put forward. The quantitative attributes are standarized by “norm” method and the qualitative attributes are quantified by indicative value based on Shannon's information theory to locate the specimen in the coordinates. An approach by progressive readjustment of pivotal points is employed for the cluster rational. Finally
any new specimen can be discriminated by the principle of “minimum distance”
too.
关键词
Keywords
references
Chen Dunlong, 1982. Probabilistic and Statistical Methods in Oceanographic Research. Ocean Press, Beijing. 539pp. (in Chinese).
Jancy, R. C., 1966. Multidimensional Group Analysis.Aust. J. Bot. 14:127–130.
Wang Zonghan et al., 1978. Probabilistic and Statistical Methods in Weather Predictions. Science Press, Beijing. 206pp. (in Chinese).
Yang Hangxi et al., 1981. The Numerical Taxonomy in Plant Ecology. Science Press, Beijing. 420pp. (in Chinese).
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相关作者
Hailing YANG
Fangzhu WU
Fangping CHEN
Jiangning ZENG
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