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Regularized least square algorithm is used for classification of data.
Regarding to this, a new method is presented for classification of data of a medical database in this study.
Nair et al. (2015) did a spread sheet implementation for classification of data using random kitchen sink algorithm (RKS).
We apply Genetic Algorithm (GA) to select the best feature set and this feature set is used for classification of data using Linear Discriminant Analysis (LDA) classifier.
In the paper, by integrating the concept of RST and relational algebra operations, a new attribute reduction algorithm has been presented to select the minimum set of attributes, called reducts, required for classification of data.
For BF and BS ICF provides a system for classification of data at four levels of detail and a system of qualifiers that may be used to classify the degree of disability (i.e. no, mild, moderate, severe or complete).
Similar(54)
In [53] authors developed a data mining process for classification of imbalance data based on MapReduce to predict traffic accidents with the highway traffic data.
Artificial intelligence approaches have been receiving favorable reviews for classification of hyperspectral data because the complexity of such data challenges the limitations of many conventional methods.
In the two approaches considered, the use of distributed SVM architectures, which basically reduces the complexity of the quadratic optimization problem of very large data sets, and the use of two sampling approaches for classification of imbalanced data sets were combined and results presented.
The mean accuracy of the methods for classification of local data varied from 0.78 to 0.87, which as expected was less than that for the PPMI data where mean accuracies varied between 0.89 and 0.95.
Performance can be measured on data, but only if a performance function is defined, e.g. the best Jaccard score achieved for classification of the data within an SVM approach.
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CEO of Professional Science Editing for Scientists @ prosciediting.com