Journal of Classification
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A Review of Three Classification Society Meetings: 2001-2002
Journal of Classification - Tập 23 - Trang 169-172 - 2006
Reticulation inside the Species Boundary
Journal of Classification - Tập 17 - Trang 165-173 - 2000
and species trees. We construct
different lineage histories for different genes, in spite of the
fact that intragenic recombination ensures that building a
gene tree can become an exercise in averaging over
disparate (and reticulating) segmental phylogenies. Combining data
across disparate gene trees leads to an average
species tree, but whether that represents anything real is
dubious. A......
Program: Classification Society of North America's Annual Meeting, Jointly Held with the Numerical Taxonomy Group University of Massachusetts, Amherst 13–16 June 1996
Journal of Classification - - 1996
Astrocladistics: A Phylogenetic Analysis of Galaxy Evolution I. Character Evolutions and Galaxy Histories
Journal of Classification - Tập 23 - Trang 31-56 - 2006
This series of papers is intended to present astrocladistics in some detail and evaluate this methodology in reconstructing phylogenies of galaxies. Being based on the evolution of all the characters describing galaxies, it is an objective way of understanding galaxy diversity through evolutionary relationships. In this first paper, we present the basic steps of a cladistic analysis and show both ......
Extended Box Clustering for Classification Problems
Journal of Classification - Tập 35 - Trang 100-123 - 2018
In this work we address a technique, based on elementary convex sets called box hulls, for effectively grouping finite point sets into non-convex objects, called box clusters. The proposed clustering approach is based on homogeneity conditions, not according to some distance measure, and it is situated inside the theoretical framework of Supervised clustering. This approach extends the so-called (......
On the Incommensurability Phenomenon
Journal of Classification - Tập 33 - Trang 185-209 - 2016
Suppose that two large, multi-dimensional data sets are each noisy measurements of the same underlying random process, and principal components analysis is performed separately on the data sets to reduce their dimensionality. In some circumstances it may happen that the two lower-dimensional data sets have an inordinately large Procrustean fitting-error between them. The purpose of this manuscript......
A new approach to isotonic agglomerative hierarchical clustering
Journal of Classification - Tập 8 - Trang 217-237 - 1991
Hierarchical clustering methods must be isotonic for the construction of ultrametric. We present a general strategy to widen the class of isotonic methods implemented by agglomerative algorithms. At each step of the agglomeration we allow one of several admissible pairs to be chosen. Then under mild assumptions an appropriate definition of admissibility guarantees isotony. Moreover we consider the......
Espaliers: A generalization of dendrograms
Journal of Classification - - 1996
Dendrograms are widely used to represent graphically the clusters and partitions obtained with hierarchical clustering schemes. Espaliers are generalized dendrograms in which the length of horizontal lines is used in addition to their level in order to display the values of two characteristics of each cluster (e.g., the split and the diameter) instead of only one. An algorithm is first presented t......
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