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Objects (8)
| Article |
FUZZY SETS AS A MEAN FOR UNCERTAINTY HANDLING: MATH, APPLIED MATH, HEURISTICS |
Abstract: Number of Disciplines and Theories changed their status from status of Natural Science discipline to Mathematics. The Theory of Probability is the classical example of that kind. The main pr |
| Article |
FUZZY SETS: MATH, APPLIED MATH, HEURISTICS? PROBLEMS AND INTERPRETATIONS |
Abstract: Number of Disciplines and Theories changed their status from status of Natural Science discipline to
Mathematics. The Theory of Probability is the classical example of that kind. The main p |
| Article |
MATRIX “FEATURE VECTORS” IN GROUPING INFORMATION PROBLEM: LINEAR ... |
Abstract: The problem of classification, clusterization or patterns recognition is one the manifestation of grouping information problem (GIP) in applied researching. It involves, beside mentioned abo |
| Article |
RECURRENT PROCEDURE IN SOLVING THE GROUPING INFORMATION PROBLEM IN APPLIED... |
Abstract: Number of The grouping information problem in its two basic manifestations recovering function,
represented by empirical data (observations) and problem of classification (clusterization) a |
| Article |
SPREADING THE MOORE - PENROSE PSEUDO INVERSE ON MATRICES EUCLIDEAN SPACES: ... |
Abstract: In the paper the development of operating technique for matrices Euclidean spaces is represented.
Particularly, within such development transfer of linear operators’ technique with preser |
| Article |
VECTORS AND MATRIXES IN GROUPING INFORMATION PROBLEM |
Abstract: Grouping information problem appears in application in two main forms. These are the problem of
recovering function, represented by its observations and the problem of classification (clust |
| Article |
ЕВКЛИДОВЫ ПРОСТРАНСТВА ЧИСЛОВЫХ ВЕКТОРОВ И |
Аннотация: Определены и рассмотрены базовые линейные структуры матричных евклидовых пространств, которые е� |
| Article |
‘FEATURE VECTORS’ IN GROUPING INFORMATION PROBLEM IN APPLIED MATHEMATICS: .. |
Abstract: The grouping information problem manifests itself in two main forms. Namely these are: recovering function, represented by empirical data (observations) and problem of classification (cluste |
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