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This paper presents a general approach for fitting the ADCLUS (Shepard and Arabie 1979; Arabie, Carroll, DeSarbo, and Wind 1981), INDCLUS (Carroll and Arabie 1983), and potentially a special case of the GENNCLUS (DeSarbo 1982) models. The proposed approach, based largely on a separability...
Two algorithms for pyramidal classification — a generalization of hierarchical classification — are presented that can work with incomplete dissimilarity data. These approaches — a modification of the pyramidal ascending classification algorithm and a least squares based penalty method — are...
A low-dimensional representation of multivariate data is often sought when the individuals belong to a set ofa-priori groups and the objective is to highlight between-group variation relative to that within groups. If all the data are continuous then this objective can be achieved by means of...
The method of nearest-neighbor interchange effects local improvements in a binary tree by replacing a 4-subtree by one of its two alternatives if this improves the objective function. We extend this to k-subtrees to reduce the number of local optima. Possible sequences of k-subtrees to be...
The plurality rule for molecular sequences is a consensus function ℘ which maps each profile of lengthk (i.e., each sequence ofk bases appearing at an aligned position ofk molecules) to a set of consensus results (i.e., ambiguity codes) that are descriptive summaries of the profile. Since the...
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