By F. Klix and J. Hoffmann (Eds.)
ISBN-10: 044486041X
ISBN-13: 9780444860415
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Example text
Cluster analysis uses a normed functional as a measure of goodness of the clustering solution, maximizing the mean interclass distance. -05 0 series1 0,5 - 1,0 125 100 series 2 75 50 25 0 CCHMCXOAHTeJlbHOCTb ColcyBcTBMe CnPH3HaTellbHOCTb ,9~6JlaroaapHOCTb 1 TTOYTeH Me - nono3pe~~e - HeTepTTMMOCTb Fig. 5 : Tree diagrammes constructed from data obtained in experiments on the reconstruction of the semantic structure of Russian vocabulary for interpersonal relations. Thus the cluster model represents the categorization process (or search in memory) informationally in a nonoptimum way, permitting the separation from the entire space of objects represented in memory of small local areas.
The logic of rigid models leads to the assumption that information from “iconic” memory is directly transferred to the long-term store. As is well known, such an approach has repeatedly been discussed recently, but so far no convincing support has been found. Leaving the question unanswered of whether it is desirable to retain the structural models of memory either by rearrangement of tcpditional blocks or by introduction of new ones, our intention is to suggest an alternative solution which unitary view of memory (WICKELGREN, 1975).
11, New York 1968 BROADBENT, D. E. : Perception and communication, London 1958 BRUNSWIK, E. : The conceptual framework of psychology, Chicago 1952 FLEXSER, A. , and E. TULWNG: Retrieval independence in recognition and recall. Psychol. Rev. -G. ), Perspectives in memory research, Hillsdale/N. J. : Episodic and semantic memory, in: E. TULVING and W. , and D. M. THOMSON: Encoding specificity and retrieval processes in episodic memory. TULVING, Psychol. Rev. 80, 352-373, 1973 Primary memory. Psychol.



