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t-SNE
- Referenced in 159 articles
[sw22300]
- technique called ”t-SNE” that visualizes high-dimensional data by giving each datapoint a location ... scales. This is particularly important for high-dimensional data that lie on several different...
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ROBPCA
- Referenced in 68 articles
[sw11592]
- matrix of the data and hence is highly sensitive to outlying observations. Two robust approaches ... projection pursuit and can handle high-dimensional data. Here we propose the ROBPCA approach, which...
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mboost
- Referenced in 67 articles
[sw07331]
- additive and interaction models to potentially high-dimensional data...
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GGobi
- Referenced in 47 articles
[sw00345]
- open source visualization program for exploring high-dimensional data. It provides highly dynamic and interactive...
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FAMT
- Referenced in 32 articles
[sw11123]
- FAMT) : simultaneous tests under dependence in high-dimensional data. The method proposed in this package...
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WGCNA
- Referenced in 25 articles
[sw07123]
- perform Weighted Correlation Network Analysis on high-dimensional data. Includes functions for rudimentary data cleaning...
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ARfit
- Referenced in 38 articles
[sw00046]
- efficient, in particular when the data are high-dimensional. ARfit modules construct approximate confidence intervals...
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HDclassif
- Referenced in 19 articles
[sw11114]
- data, based on the assumption that high-dimensional data live in different subspaces with...
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GAP
- Referenced in 19 articles
[sw26294]
- matrix visualization (MV) and clustering of high-dimensional data sets. It provides direct visual perception...
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SOM_PAK
- Referenced in 23 articles
[sw15446]
- codebook vectors into a high-dimensional input data space to approximate to its data sets...
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uniCox
- Referenced in 14 articles
[sw19131]
- model.. Especially useful for high-dimensional data, including microarray data...
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ZIFA
- Referenced in 13 articles
[sw32141]
- gene expression analysis. Single-cell RNA-seq data allows insight into normal cellular function ... cell level. Dimensionality reduction of such high-dimensional data sets is essential for visualization...
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robustHD
- Referenced in 8 articles
[sw14244]
- robustHD: Robust Methods for High-Dimensional Data. Robust methods for high-dimensional data, in particular...
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SPECTRODE
- Referenced in 11 articles
[sw13984]
- behavior of statistical methods under high-dimensional asymptotics. However, the applicability of the framework ... data is a sample from a multivariate distribution with a given covariance matrix. Under high ... dimensional asymptotics, there is a deterministic map from the distribution of eigenvalues of the population ... broaden the use of RMT in high-dimensional data analysis...
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FALCONN
- Referenced in 12 articles
[sw26631]
- Python wrapper for similarity search over high-dimensional data. It supports cosine similarity...
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WeightedPortTest
- Referenced in 12 articles
[sw12429]
- Statistical Association: We exploit ideas from high-dimensional data analysis to derive new portmanteau tests...
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Isomap
- Referenced in 11 articles
[sw31686]
- Scientists working with large volumes of high-dimensional data, such as global climate patterns, stellar ... problem of dimensionality reduction: finding meaningful low-dimensional structures hidden in their high-dimensional observations ... everyday perception, extracting from its high-dimensional sensory inputs-30,000 auditory nerve fibers ... Here we describe an approach to solving dimensionality reduction problems that uses easily measured local...
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LargeVis
- Referenced in 6 articles
[sw34905]
- LargeVis: Visualizing Large-scale and High-dimensional Data. We study the problem of visualizing large ... scale and high-dimensional data in a low-dimensional (typically 2D or 3D) space. Much ... from scaling to large-scale and high-dimensional data (e.g., millions of data points ... thus easily scales to millions of high-dimensional data points. Experimental results on real-world...
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JIVE
- Referenced in 17 articles
[sw09511]
- data sets in which multiple high-dimensional types of data are available for a common...
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SparseFIS
- Referenced in 11 articles
[sw13736]
- this paper, we deal with a novel data-driven learning method [sparse fuzzy inference systems ... evaluated, which is based on high-dimensional data from industrial processes and based on benchmark...