Titlebook: Mathematics of Program Construction; Second International R. S. Bird,C. C. Morgan,J. C. P. Woodcock Conference proceedings 1993 Springer-Ve

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Paul F. Hoogendijksurement levels data. .In the part dealing with the principle, after a brief introduction of ordinary PCA, a PCA for categorical data (nominal and ordinal) is introduced as nonlinear PCA, in which an optimal scaling technique is used to quantify the categorical variables. The alternating least squar

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Geraint Jones,Mary Sheerandes an acceleration algorithm that speeds up the convergent This book expounds the principle and related applications of nonlinear principal component analysis (PCA), which is useful method to analyze mixed measurement levels data. .In the part dealing with the principle, after a brief introduction

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Rob R. Hoogerwoordoduced: variable selection for mixed measurement levels data, sparse MCA, joint dimension reduction and clustering methods for categorical data, and acceleration of ALS computation. The variable selection metho978-981-10-0157-4978-981-10-0159-8Series ISSN 2191-544X Series E-ISSN 2191-5458

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Conservative fixpoint functions on a graph,e not new, but the calculational, abstract and compact technique of deriving them is meant to improve and complement the current techniques [KNU77, REY81, REM84]. It is believed to simplify the derivations for a wider algorithm class [EIJ92] than the one treated here.