Showing 1 - 10 of 10
Association rules (AR) represent one of the most powerful and largely used approaches to detect the presence of regularities and paths in large databases. Rules express the relations (in terms of co-occurrence) between pairs of items and are defined in two measures: support and confidence. Most...
Persistent link: https://www.econbiz.de/10005172809
One of the many areas in which correspondence analysis (CA) is an effective method, concerns seriation problems.For example, CA is a well-known technique for the seriation of archaeological assemblages. A problem with the CA seriation solution, however, is that only a relative ordering of the...
Persistent link: https://www.econbiz.de/10005117996
Persistent link: https://www.econbiz.de/10005250222
<title>Abstract</title> The topic of harmonizing port state control (PSC) inspections has been on the agenda of the flag state sub‐committee meeting at the International Maritime Organization in recent years. This article is based on a unique combined dataset of 183 819 PSC inspections and uses...
Persistent link: https://www.econbiz.de/10010973192
A Method is offered that makes it possible to apply generalized canonical correlations analysis (CANCOR) to two or more matrices of different row and column order. The new method optimizes the generalized canonical correlation analysis objective by considering only the observed values. This is...
Persistent link: https://www.econbiz.de/10005772530
Correspondence analysis (CA) is a popular method that can be used to analyse relationships between categorical variables. Like principal component analysis, CA solutions can be rotated both orthogonally and obliquely to simple structure without affecting the total amount of explained inertia. We...
Persistent link: https://www.econbiz.de/10008460763
__Abstract__ A new method is proposed that combines dimension reduction and cluster analysis for categorical data. A least-squares objective function is formulated that approximates the cluster by variables cross-tabulation. Individual observations are assigned to clusters in such a way that the...
Persistent link: https://www.econbiz.de/10011149289
Binary data represent a very special condition where both measures of distance and co-occurrence can be adopted. Euclidean distance-based non-hierarchical methods, like the k-means algorithm, or one of its versions, can be profitably used. When the number of available attributes increases the...
Persistent link: https://www.econbiz.de/10010998535
I recently proposed a method of bosonization based on the use of coherent states of fermion composites, whose validity was restricted to smooth structure functions. In the present paper I remove this limitation and derive results which hold for arbitrary interactions and structure functions. The...
Persistent link: https://www.econbiz.de/10009280663
Persistent link: https://www.econbiz.de/10009280935