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In the paper, put forward classification and discrimination based on rough sets-partial least squares-discriminant analysis (RS-PLS-DA). The method was proved to be feasible and effective after tested with a complication of diabetes database.
The paper put forward Data mining using rough sets and orthogonal signal correction-orthogonal partial least squares analysis (RS-OSC-OPLS/O2PLS). first, dimensionality reduction and de-noising with rough sets and orthogonal signal correction;second, Data mining using orthogonal partial least squares analysis. The method was proved to be feasible and effective after tested with 13 kinds of nationalities...
In order to classify the disease from the clinical database, according to the characteristic of disease in rough relational databases, a method to classify the disease was put forward. Firstly, to collect the disease symptom model information table from the clinical database; secondly, symptom typical characterizing using accuracy; thirdly, classify the disease based on a novel rough distance. The...
Assist medical diagnosis is a significative work. In the paper, symptom characterizing based on accuracy, extract rules method from clinical databases based on rough exclusive, matching with tolerant, and a rough strategic decision system based on these concepts, is put forward. It was proved to be feasible and effective after tested with a database.
Generating the new knowledge from uncertainty and imprecision problem is a very significative research of knowledge management. In this paper, Knowledge cluster analysis based on rough inclusion is put forward. It was proved to be feasible and effective after tested with 13 kinds of nationalities crowds' data.
13 kind of nationalities crowds' data classification using hierarchical cluster (HC), rough sets (RS), principal component analysis (PCA) and its combination, the result shows: first, rough sets and principal component analysis can dimensionality reduction and de-noising; second, hierarchical cluster after rough sets (RSHC), principal component analysis after rough sets (PCARS), principal component...
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