| 摘要 |
In a method of analyzing a plurality of objects, which each are expressed by a set of parameters consisting of a plurality of parameter values, a plurality of samples (predetermined objects) is divided into a plurality of classes. These objects may inter alia be represented by colour pixels in an image processing system, wherein each object is identified by a set of parameters formed by a plurality of parameters, e.g. the intensities of the 3 primary colours. Sets of parameters additionally include e.g. those which are related to marketing, economic, financial, legal, organizing, sociological, anthropological, historic, linguistic, psychological or political scenarios. The sets of parameters of the samples, which are expressed as a set of numbers, determine in which of the classes the individual samples are arranged. The classes of the objects are established by given criteria, such as distance relations in vector form between the sets of parameters of the objects and the sets of parameters of the samples. In the event that a sample may be arranged in more than one class, the one of the classes in which the sample might be arranged according to predetermined criteria is selected, or the sample is left out in the analysis. With a relatively small object material, the invented method makes it possible to estimate analysis results of objects with a large number of parameter values, which is e.g. of great importance if the numbers for the object material are expensive and difficult to provide.
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