COMPARING 3 CLASSIFICATION STRATEGIES FOR USE IN ECOLOGY

被引：115

作者：

BELBIN, L

MCDONALD, C

机构：

[1] CSIRO Division of Wildlife & Ecology, Lyneham, Australian Capital Territory, 2602

[2] Csiro, Division of Tropical Crops & Pastures, St Lucia, Queensland, 4067

来源：

JOURNAL OF VEGETATION SCIENCE | 1993年 / 4卷 / 03期

关键词：

AGGLOMERATIVE STRATEGY; ALOC; CLUSTERING ALGORITHM; DIVISIVE STRATEGY; TWINSPAN; UPGMA;

D O I：

10.2307/3235592

中图分类号：

Q94 [植物学];

学科分类号：

071001 ;

摘要：

We compare three common types of clustering algorithms for use with community data. TWINSPAN is divisive hierarchical, flexible-UPGMA is agglomerative and hierarchical, and ALOC is non-hierarchical. A balanced design six-factor model was used to generate 480 data sets of known characteristics. Recovery of the embedded clusters suggests that both flexible UPGMA and ALOC are significantly better than TWINSPAN. No significant difference existed between flexible UPGMA and ALOC.

引用

页码：341 / 348

页数：8

共 40 条

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