"High Dimensional Data" trang 1 - tải miễn phí từ tailieunhanh
Focused multidimensional scaling: Interactive visualization for exploration of high-dimensional data

Focused multidimensional scaling: Interactive visualization for exploration of high-dimensional data
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Distance based k-means clustering algorithm for determining number of clusters for high dimensional data

Distance based k-means clustering algorithm for determining number of clusters for high dimensional data
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A new variant of radial visualization for supervised visualization of high dimensional data

A new variant of radial visualization for supervised visualization of high dimensional data
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Multiset sparse partial least squares path modeling for high dimensional omics data analysis

Multiset sparse partial least squares path modeling for high dimensional omics data analysis
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Obtaining insights from high-dimensional data: Sparse principal covariates regression

Obtaining insights from high-dimensional data: Sparse principal covariates regression
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Distribution based nearest neighbor imputation for truncated high dimensional data with applications to pre-clinical and clinical metabolomics studies

Distribution based nearest neighbor imputation for truncated high dimensional data with applications to pre-clinical and clinical metabolomics studies
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Combining techniques for screening and evaluating interaction terms on high-dimensional time-to-event data

Combining techniques for screening and evaluating interaction terms on high-dimensional time-to-event data
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A general index for linear and nonlinear correlations for high dimensional genomic data

A general index for linear and nonlinear correlations for high dimensional genomic data
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Feature clustering for pso - based feature construction on high dimensional data

Feature clustering for pso - based feature construction on high dimensional data
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Using recursive feature elimination in random forest to account for correlated variables in high dimensional data

Using recursive feature elimination in random forest to account for correlated variables in high dimensional data
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Lecture Data mining: Lesson 20

Lecture Data mining: Lesson 20
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Testing for association between RNA-Seq and high-dimensional data

Testing for association between RNA-Seq and high-dimensional data
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Controlling false discoveries in high-dimensional situations: Boosting with stability selection

Controlling false discoveries in high-dimensional situations: Boosting with stability selection
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A weighting approach for judging the effect of patient strata on high-dimensional risk prediction signatures

A weighting approach for judging the effect of patient strata on high-dimensional risk prediction signatures
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Lecture Data mining and analysis: Fundamental concepts and algorithms: Chapter 6 - Mohammed J. Zaki, Wagner Meira

Lecture Data mining and analysis: Fundamental concepts and algorithms: Chapter 6 - Mohammed J. Zaki, Wagner Meira
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Lecture Data mining and analysis: Fundamental concepts and algorithms: Chapter 6 - Mohammed J. Zaki, Wagner Meira

Lecture Data mining and analysis: Fundamental concepts and algorithms: Chapter 6 - Mohammed J. Zaki, Wagner Meira
20    109    3
High dimensional model representation of log-likelihood ratio: Binary classification with expression data

High dimensional model representation of log-likelihood ratio: Binary classification with expression data
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Comparison of classification methods that combine clinical data and high-dimensional mass spectrometry data

Comparison of classification methods that combine clinical data and high-dimensional mass spectrometry data
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FastProject: A tool for low-dimensional analysis of single-cell RNA-Seq data

FastProject: A tool for low-dimensional analysis of single-cell RNA-Seq data
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GARS: Genetic algorithm for the identification of a robust subset of features in high-dimensional datasets

GARS: Genetic algorithm for the identification of a robust subset of features in high-dimensional datasets
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