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Volumn 34, Issue 5, 2011, Pages 807-813

Evaluating the stability of the classification of community data

Author keywords

[No Author keywords available]

Indexed keywords

BOOTSTRAPPING; CLUSTER ANALYSIS; COMMUNITY DYNAMICS; COMPARATIVE STUDY; DATA SET;

EID: 80054843903     PISSN: 09067590     EISSN: 16000587     Source Type: Journal    
DOI: 10.1111/j.1600-0587.2010.06599.x     Document Type: Article
Times cited : (25)

References (37)
  • 1
    • 0024922821 scopus 로고
    • Vegetation survey design for conservation: gradsect sampling of forests in northeast New South Wales
    • Austin, M. P. and Heyligers, P. C. 1989. Vegetation survey design for conservation: gradsect sampling of forests in northeast New South Wales. Biol. Conserv. 50: 13-32.
    • (1989) Biol. Conserv , vol.50 , pp. 13-32
    • Austin, M.P.1    Heyligers, P.C.2
  • 2
    • 0027461026 scopus 로고
    • Comparing three classification strategies for use in ecology
    • Belbin, L. and McDonald, C. 1993. Comparing three classification strategies for use in ecology. J. Veg. Sci. 4: 341-348.
    • (1993) J. Veg. Sci , vol.4 , pp. 341-348
    • Belbin, L.1    McDonald, C.2
  • 3
    • 41049097105 scopus 로고    scopus 로고
    • Validation of hierarchical classifications by splitting dataset
    • Botta-Dukát, Z. 2008. Validation of hierarchical classifications by splitting dataset. Acta Bot. Hung. 50: 73-80.
    • (2008) Acta Bot. Hung , vol.50 , pp. 73-80
    • Botta-Dukát, Z.1
  • 4
    • 4344583045 scopus 로고    scopus 로고
    • Methods for detecting functional classifications in neuroimaging data
    • Bowman, F. D. B. et al. 2004. Methods for detecting functional classifications in neuroimaging data. Hum. Brain Mapp. 23: 109-119.
    • (2004) Hum. Brain Mapp , vol.23 , pp. 109-119
    • Bowman, F.D.B.1
  • 5
    • 0035201828 scopus 로고    scopus 로고
    • Phylogenetic inferences from molecular sequences: review and critique
    • Brocchieri, L. 2000. Phylogenetic inferences from molecular sequences: review and critique. Theor. Popul. Biol. 59: 27-40.
    • (2000) Theor. Popul. Biol , vol.59 , pp. 27-40
    • Brocchieri, L.1
  • 6
    • 0031599813 scopus 로고    scopus 로고
    • An evaluation of structural descriptors and clustering methods for use in diversity selection
    • Brown, R. D. and Martin, Y. C. 1998. An evaluation of structural descriptors and clustering methods for use in diversity selection. SAR QSAR Environ. Res. 8: 23-39.
    • (1998) SAR QSAR Environ. Res , vol.8 , pp. 23-39
    • Brown, R.D.1    Martin, Y.C.2
  • 7
    • 0030866558 scopus 로고    scopus 로고
    • A comparison of clustering methods for river benthic community analysis
    • Cao, Y. et al. 1997. A comparison of clustering methods for river benthic community analysis. Hydrobiologia 347: 25-40.
    • (1997) Hydrobiologia , vol.347 , pp. 25-40
    • Cao, Y.1
  • 9
    • 0036231372 scopus 로고    scopus 로고
    • Determination of diagnostic species with statistical fidelity measures
    • Chytrý, M. et al. 2002. Determination of diagnostic species with statistical fidelity measures. J. Veg. Sci. 13: 79-90.
    • (2002) J. Veg. Sci , vol.13 , pp. 79-90
    • Chytrý, M.1
  • 10
    • 72949118701 scopus 로고    scopus 로고
    • Associations between species and groups of sites: indices and statistical inference
    • De Cáceres, M. and Legendre, P. 2009. Associations between species and groups of sites: indices and statistical inference. Ecology 90: 3566-3574.
    • (2009) Ecology , vol.90 , pp. 3566-3574
    • De Cáceres, M.1    Legendre, P.2
  • 11
    • 70249095990 scopus 로고    scopus 로고
    • Numerical reproduction of traditional classifications and automatic vegetation identification
    • De Cáceres, M. et al. 2009. Numerical reproduction of traditional classifications and automatic vegetation identification. J. Veg. Sci. 20: 620-628.
    • (2009) J. Veg. Sci , vol.20 , pp. 620-628
    • De Cáceres, M.1
  • 12
    • 0029982849 scopus 로고    scopus 로고
    • Bootstrap confidence levels for phylogenetic trees
    • Efron, B. et al. 1996. Bootstrap confidence levels for phylogenetic trees. Proc. Natl Acad. Sci. USA 93: 13429-13434.
    • (1996) Proc. Natl Acad. Sci. USA , vol.93 , pp. 13429-13434
    • Efron, B.1
  • 13
    • 0000461280 scopus 로고
    • Confidence limits on phylogenies: an approach using the bootstrap
    • Felsenstein, J. 1985. Confidence limits on phylogenies: an approach using the bootstrap. Evolution 39: 783-791.
    • (1985) Evolution , vol.39 , pp. 783-791
    • Felsenstein, J.1
  • 14
    • 0001538089 scopus 로고
    • Hierarchical classification of community data
    • Gauch, H. G. Jr and Whittaker, R. H. 1981. Hierarchical classification of community data. J. Ecol. 69: 537-557.
    • (1981) J. Ecol , vol.69 , pp. 537-557
    • Gauch Jr., H.G.1    Whittaker, R.H.2
  • 15
    • 0031395856 scopus 로고    scopus 로고
    • Sampling for vegetation survey: some properties of a GIS-based stratification compared to other statistical sampling methods
    • Goedickemeier, I. et al. 1997. Sampling for vegetation survey: some properties of a GIS-based stratification compared to other statistical sampling methods. Coenoses 12: 43-50.
    • (1997) Coenoses , vol.12 , pp. 43-50
    • Goedickemeier, I.1
  • 17
    • 34248978779 scopus 로고
    • Measures of association for cross-classification
    • Goodman, L. A. and Kruskal, W. H. 1954. Measures of association for cross-classification. J. Am. Stat. Assoc. 49: 732-764.
    • (1954) J. Am. Stat. Assoc , vol.49 , pp. 732-764
    • Goodman, L.A.1    Kruskal, W.H.2
  • 18
    • 43049147671 scopus 로고    scopus 로고
    • Dissolution point and isolation robustness: robustness criteria for general cluster analysis methods
    • Hennig, C. 2008. Dissolution point and isolation robustness: robustness criteria for general cluster analysis methods. J. Multivar. Anal. 99: 1154-1176.
    • (2008) J. Multivar. Anal , vol.99 , pp. 1154-1176
    • Hennig, C.1
  • 19
    • 0346271739 scopus 로고    scopus 로고
    • Bootstrapping phylogenetic trees: theory and methods
    • Holmes, S. 2003. Bootstrapping phylogenetic trees: theory and methods. Stat. Sci. 2: 241-255.
    • (2003) Stat. Sci , vol.2 , pp. 241-255
    • Holmes, S.1
  • 21
    • 36749100538 scopus 로고    scopus 로고
    • Semi-dry grasslands along a climatic gradient across central Europe: vegetation classification with validation
    • Illyés, E. et al. 2007. Semi-dry grasslands along a climatic gradient across central Europe: vegetation classification with validation. J. Veg. Sci. 18: 835-846.
    • (2007) J. Veg. Sci , vol.18 , pp. 835-846
    • Illyés, E.1
  • 22
    • 26444502583 scopus 로고    scopus 로고
    • Stratified resampling of phytosociological databases: some strategies for obtaining more representative data sets for classification studies
    • Knollová, I. et al. 2005. Stratified resampling of phytosociological databases: some strategies for obtaining more representative data sets for classification studies. J. Veg. Sci. 16: 479-486.
    • (2005) J. Veg. Sci , vol.16 , pp. 479-486
    • Knollová, I.1
  • 24
    • 33845488742 scopus 로고    scopus 로고
    • Parallel bisecting k-means with prediction clustering algorithm
    • Li, Y. and Chung, S. M. 2007. Parallel bisecting k-means with prediction clustering algorithm. J. Supercomput. 39: 19-37.
    • (2007) J. Supercomput , vol.39 , pp. 19-37
    • Li, Y.1    Chung, S.M.2
  • 26
    • 0037281718 scopus 로고    scopus 로고
    • An enhanced cluster analysis program with bootstrap significance testing for ecological community analysis
    • McKenna, J. E. 2003. An enhanced cluster analysis program with bootstrap significance testing for ecological community analysis. Environ. Model. Softw. 18: 205-220.
    • (2003) Environ. Model. Softw , vol.18 , pp. 205-220
    • McKenna, J.E.1
  • 27
    • 0033430101 scopus 로고    scopus 로고
    • How sharp are classifications?
    • Pillar, V. D. 1999. How sharp are classifications?. Ecology 80: 2508-2516.
    • (1999) Ecology , vol.80 , pp. 2508-2516
    • Pillar, V.D.1
  • 28
    • 0022939113 scopus 로고
    • Comparison of partitions in vegetation studies
    • Podani, J. 1986. Comparison of partitions in vegetation studies. Abstr. Bot. 10: 235-290.
    • (1986) Abstr. Bot , vol.10 , pp. 235-290
    • Podani, J.1
  • 29
    • 0024900082 scopus 로고
    • New combinatorial clustering methods
    • Podani, J. 1989. New combinatorial clustering methods. Plant Ecol. 81: 61-77.
    • (1989) Plant Ecol , vol.81 , pp. 61-77
    • Podani, J.1
  • 30
    • 0038138042 scopus 로고    scopus 로고
    • Resemblance coefficients and the horseshoe effect in principal coordinate analysis
    • Podani, J. and Miklós, I. 2002. Resemblance coefficients and the horseshoe effect in principal coordinate analysis. Ecology 83: 3331-3343.
    • (2002) Ecology , vol.83 , pp. 3331-3343
    • Podani, J.1    Miklós, I.2
  • 31
    • 84863304598 scopus 로고    scopus 로고
    • R Development Core Team. R Foundation Startistical Computing, Vienna, Austria.
    • R Development Core Team. 2010. R: a language and environment for Startistical Computing. R Foundation Startistical Computing, Vienna, Austria.
    • (2010) R: a language and environment for Startistical Computing
  • 34
    • 33846572884 scopus 로고    scopus 로고
    • Empirical study of supervised gene screening
    • Shuangge, M. 2006. Empirical study of supervised gene screening. BMC Bioinfor. 7: 537.
    • (2006) BMC Bioinfor , vol.7 , pp. 537
    • Shuangge, M.1
  • 35
    • 0036621526 scopus 로고    scopus 로고
    • JUICE, software for vegetation classification
    • Tichý, L. 2002. JUICE, software for vegetation classification. J. Veg. Sci. 13: 451-453.
    • (2002) J. Veg. Sci , vol.13 , pp. 451-453
    • Tichý, L.1
  • 36
    • 77949690339 scopus 로고    scopus 로고
    • OptimClass: using species-to-cluster fidelity to determine the optimal partition in classification of ecological communities
    • Tichý, L. et al. 2010. OptimClass: using species-to-cluster fidelity to determine the optimal partition in classification of ecological communities. J. Veg. Sci. 21: 287-299.
    • (2010) J. Veg. Sci , vol.21 , pp. 287-299
    • Tichý, L.1
  • 37
    • 0142070986 scopus 로고    scopus 로고
    • SpaRef: a clustering algorithm for multispectral images
    • Tran, T. et al. 2003. SpaRef: a clustering algorithm for multispectral images. Anal. Chim. Acta 490: 303-312.
    • (2003) Anal. Chim. Acta , vol.490 , pp. 303-312
    • Tran, T.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.