영어에서 Discriminant 을 사용하는 예와 한국어로 번역
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The Discriminant Function Analysis.
All I care about is my discriminant is positive.
The discriminant can be kind of a useful shortcut.
Validation of linear discriminant analysis(IDA).
Now I just used a word, and that word is discriminant.
So if the discriminant is equal to 0, you only have one solution.
Partial least squares linear discriminant analysis.
Why does the discriminant in the Quadratic Formula reveal the number of real solutions?
So if you're in a situation like that, I can just look at the discriminant.
So if the discriminant is greater 0, then that tells us that we have two solutions.
Hensel was interested in the exact power of a prime which divides the discriminant of an algebraic number field.
Linear discriminant analysis(IDA) was used as dimensionality reduction method.
You can identify variables that best separate groups using discriminant analysis, often as an alternative to nominal logistic regression.
Linear discriminant analysis(IDA) is a classical method for discriminative dimensionality reduction.
After the three clinical outcomes are chosen,biomarkers most representative of the medical condition of the subject are determined by discriminant analysis.
So the discriminant here is what? b squared is 9 minus 4, times a-- negative 1-- times c, which is negative 6.
The mathematical basis for geostatistics derives from cluster analysis,linear discriminant analysis and non-parametric statistical tests, and a variety of other subjects.
Linear discriminant analysis(IDA) is a well-known method for feature extraction and dimension reduction.
Better filtering options for tabular output, including terms, phrases and report lists. Per topic word clouds. Support for discriminant analysis(JMP Pro).
You can also perform discriminant analysis and use validation columns in a predictive modeling workflow. Multivariate Interdependence Techniques.
For multivariate dependence techniques, JMP provides partial least squares regression(PLS), discriminant analysis, naÃ̄ve Bayes and nearest neighbor classifiers, and the Gaussian Process.
Besides the Discriminant Function Analysis, there are many such algorithms, such as“Single Linkage,”“Complete Linkage,”“K means,”“Ward's Method,” or the“Centroid Method.”.
For example, this may performed using two methods, Linear discriminant analysis(LDA) and Non- linear discriminant analysis(NLDA).
Indeed, a simple linear discriminant analysis(LDA) classifies all samples correctly as either PE, PS, PP, or PET(combining the small subgroups of identical chemical makeup).
Kappelman, it appears that the use of difference scores in calculating SERVQUAL contributes to problems with the reliability, discriminant validity, convergent validity, and predictive validity of the measurement.
Once again, let's look at the discriminant. b squared, that's negative 8 squared minus 4, times a, which is 1, times c, which is 16.
Bracket to support the host portion of the run to ensure the correct location of the collector components with other components of the host have the same life, which requires good strength and corrosion resistance, to discriminant its pros and cons, can be visually it the material, thickness, surface treatment.
Platforms like Partition, Cluster and Discriminant, when used in the spirit of uncovering relationships, are often highly successful in isolating the hot X's that can then be used for more definitive statistical modeling if this is meaningful and useful.
You can perform automated training to search for the best classification model type, including decision trees, discriminant analysis, support vector machines, logistic regression, nearest neighbors, and ensemble classification.
Many of his algorithms(such as Linear Discriminant Analysis) and formula(such as the Fisher Information Matrix) are still in frequent use today(even the Iris dataset that he released in 1936 is still used sometimes to illustrate machine learning algorithms).