Similarity-Reduced Diversities: the Effective Entropy and the Reduced Entropy.

IF 1.8 4区 计算机科学 Q2 MATHEMATICS, INTERDISCIPLINARY APPLICATIONS Journal of Classification Pub Date : 2022-01-01 Epub Date: 2021-09-08 DOI:10.1007/s00357-021-09395-4
François Bavaud
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Abstract

The paper presents and analyzes the properties of a new diversity index, the effective entropy, which lowers Shannon entropy by taking into account the presence of similarities between items. Similarities decrease exponentially with the item dissimilarities, with a freely adjustable discriminability parameter controlling various diversity regimes separated by phase transitions. Effective entropies are determined iteratively, and turn out to be concave and subadditive, in contrast to the reduced entropy, proposed in Ecology for similar purposes. Two data sets are used to illustrate the formalism, and underline the role played by the dissimilarity types.

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相似-减少多样性:有效熵和减少熵。
本文提出并分析了一种新的多样性指标——有效熵的性质,该指标考虑了项目之间存在的相似性,从而降低了Shannon熵。相似度随项目不相似度呈指数下降,可自由调节的判别参数控制由相变分离的各种多样性机制。有效熵是迭代确定的,结果是凹的和次加性的,与在生态学中为类似目的提出的减少熵相反。使用两个数据集来说明形式主义,并强调不同类型所起的作用。
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来源期刊
Journal of Classification
Journal of Classification 数学-数学跨学科应用
CiteScore
3.60
自引率
5.00%
发文量
16
审稿时长
>12 weeks
期刊介绍: To publish original and valuable papers in the field of classification, numerical taxonomy, multidimensional scaling and other ordination techniques, clustering, tree structures and other network models (with somewhat less emphasis on principal components analysis, factor analysis, and discriminant analysis), as well as associated models and algorithms for fitting them. Articles will support advances in methodology while demonstrating compelling substantive applications. Comprehensive review articles are also acceptable. Contributions will represent disciplines such as statistics, psychology, biology, information retrieval, anthropology, archeology, astronomy, business, chemistry, computer science, economics, engineering, geography, geology, linguistics, marketing, mathematics, medicine, political science, psychiatry, sociology, and soil science.
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