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Biotic Population Clustering Model With the Discrete Increment of Information

机译:信息离散增量的生物种群聚类模型

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By considering the whole biosphere as a big information source and each biotic population as a discrete source,we can use the measure of information diversity to describe the species diversity,and use the information increment of diversity to show the otherness of different species.In this paper,we gave the concept of measure of information diversity and increment of diversity,established the relation between the biologic similarity and information increment of diversity.Using the relation,we get a biologic cluster model based on the increment of diversity.A joint characters cluster method is used in the model,so it has higher precision and stronger generality.In the experiment,we use the model on six different species classification and compare it with the traditional methods.The same effect has been found.
机译:通过将整个生物圈视为一个重要的信息源,并将每个生物种群作为一个离散的源,我们可以使用信息多样性的度量来描述物种多样性,并使用多样性的信息增量来显示不同物种的异性。本文提出了信息多样性和多样性增量度量的概念,建立了生物相似度与多样性信息增量之间的关系。利用该关系,得到了基于多样性增量的生物聚类模型。联合特征聚类该方法在模型中使用,具有较高的精度和通用性。在实验中,我们将该模型用于六个不同的物种分类,并将其与传统方法进行比较,发现了相同的效果。

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