HIERARCHICAL CLASSIFICATION OF MORPHOLOGICAL FEATURES OF TILAPIA CABREA
DOI:
https://doi.org/10.51406/jnset.v11i1.1415Keywords:
Multi-dimensional data, Fusion level / height, Hierarchical classification, DendrogramAbstract
This article proposes an effective data visualization of multidimensional data. These displays are useful to represent the existence or absence of relationships among objects corresponding to hierarchical classifications, bifurcation or evolutionary structure. The display in this article used some morphological features of Tilapia Cabrea, as represented in the dendrogram or cluster tree which illustrates the successive fusions of objects into groups or divisions made at each successive stage of the analysis. Effectively, this clustering reduces the dimensionality and makes interpretations easier.
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Bertin, J. 1967. Semiologie Graphique. Gauthier-Villars: Paris.
Chernoff, H. 1973. The use of faces to represent points in k-dimensional space graphically. Journal of American Statistical Association, 68: 361 - 368.
Gabriel, K. R. 1971. The Bi-plot Graphic Display of Matrices with Application to Principal Component Analysis. Biometrika, 58: 453-467.
Hartigan, J. A. 1975. Clustering Algorithms, John Wiley & Sons, New York.
Hurley, C. B. 2004. Clustering Visualizations of Multidimentional Data. Journal of Computational and Graphical Statistics, 13(4): 788-806.
Kaufman, L., Rousseeuw, P. J. 2005. Finding Groups in Data, John Wiley & Sons, New York.
Kleiner, B., Hartigan, J. A. 1981. Representing Points in Many Dimensions by Trees and Castles. Journal of American Statistical Association, 76: 260 - 269.
Leisch, F. 2005. A Toolbox for K-Centroids Clusters Analysis. Computational Statistics and Data Analysis, 51: 526-544.
Milligan, G. W., Cooper, M. C. 1985. An Examination of Procedures for Determining the Number of Clusters in a Data Set. Psychometrika, 50: 159 - 79.
Mojena, R. 1977. Hierarchical Grouping Methods and Stopping Rules: An Evaluation. Computer Journal 20: 359 - 63.
Trosset, M. W. 2005. Visualizing Correlation. Journal of Computational and Statistical Graphics, 14(1): 1-19.
Uchendu, B. A., Nwishi Chioma, C. H. 2007. Application of Multivariate Statistical Method in the Study of Morphological Features of Tilapia Cabrea. Proceedings of the Nigerian Statistical Association.
Wainer, H. 1983. On Multivariate Display in Recent Advances in Statistics, Edited by M. H., Rizzi, J. S., Rustagi and D. Sigmund, Academic, New York. Pp. 469-508.
