# High dimensional data

### On the Spectrum of Random Features Maps of High Dimensional Data

**High**

**Dimensional**

**Data**Zhenyu Liao 1 Romain Couillet 1 2 Abstract Random feature maps are ubiquitous in modern statistical machine learning, where they general- ize random projections by means of ...

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### ProxiLens: Interactive Exploration of High-Dimensional Data using Projections

**dimensional**- ity reduction leads to distortions in the resulting projection [ Aup07 ...HD

**data**from ...projecting

**high**-

**dimensional**

**data**in a low-

**dimensional**...

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### Class proximity measures—dissimilarity-based classification and display of high-dimensional data

**high**-

**dimensional**...a

**high**-

**dimensional**biomedical (metabolomic) dataset ( 1 H NMR spectra of a biofluid) several feasible possibilities and processes, based on concepts of the Class ...

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### Scalable Collaborative Targeted Learning for High-Dimensional Data

**data**, at the cost of an increase in time ...

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### HDclassif: an R Package for Model-Based Clustering and Discriminant Analysis of High-Dimensional Data

**high**-

**dimensional**...called

**high**

**dimensional**discriminant analysis ...called

**high**

**dimensional**

**data**clustering (HDDC) and uses the expectation-maximization algorithm for ...

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### DD-HDS: A method for visualization and exploration of high-dimensional data.

**high**-

**dimensional**

**data**in a low-

**dimensional**space, for example for visualization, is a problem of increasingly major concern in

**data**...Multi

**Dimensional**Scaling (MDS) ...

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### High Dimensional Data Clustering by means of Distributed Dirichlet Process Mixture Models

**data**mining technique intensively used for

**data**analytics, with applications to marketing, security, text/document analysis, or sciences like biology, astronomy, and many ...of

**high**dimen- sional ...

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### Kernel methods for high dimensional data analysis

**High**

**Dimensional**

**Data**Analysis Since computer power enables massive computations,

**data**analysis has been driven by the necessity to produce algorithms able to recover the structure of ...

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### On the visualization of high-dimensional data

**high**

**dimensional**

**data**The kernel PCA is the kernelized version of the PCA, a popular projection ...of

**high**-

**dimensional**

**data**, by selecting the 2 dominant ...

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### Relevant Attribute Discovery in High Dimensional Data: Application to Breast Cancer Gene Expressions

**data**objects are described in terms of a large number of ...pipelined

**data**mining approach introduced in [12] us- ing two clustering algorithms in combination with rough sets and extended with genetic ...

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### Continual forgetting-free deep learning from high-dimensional data streams

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**Data**Streams R´ esum´ e : Dans cette th` ese, nous proposons une nouvelle approche de l’apprentissage profond pour la classification des flux de donn´ ees de grande ...

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### Contributions to unsupervised learning from massive high-dimensional data streams : structuring, hashing and clustering

**data**onto lower-

**dimensional**representa- ...exist:

**data**-independent and

**data**-dependent hashing ...the

**data**-independent ...c-lower

**dimensional**space followed by a scalar ...

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### CrossCat: A fully Bayesian nonparametric method for analyzing heterogeneous, high dimensional data

**high**-

**dimensional**datasets with- out imposing restrictive or opaque modeling ...domain-general

**data**analysis method called ...the

**data**, each consisting of a subset of the variables, and ...

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### Gaussian mixture models for the classification of high-dimensional vibrational spectroscopy data

**high**-

**dimensional**

**data**classification is to model and classify the

**data**in low-

**dimensional**class specific ...for

**high**-

**dimensional**

**data**and their associated ...

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### High-dimensional $p$-norms

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**data**processing. This effect is usually referred to as the distance concentration phenomenon in ...

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### High-dimensional Learning for Extremes

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**data**. Indeed for β ∈ P d ∗ with cardinality b, the ...

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### Data Augmentation in High Dimensional Low Sample Size Setting Using a Geometry-Based Variational Autoencoder

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**dimensional**

**data**[11], ...troscopy

**data**[30], dermoscopy [31] or mammography [32], [33] and demonstrated promising ...small

**dimensional**

**data**, whereas in everyday medical ...

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### Similarity Learning for High-Dimensional Sparse Data

**data**dimen- sion) to account for correlation between pairs of fea- ...For

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**dimensional**

**data**(say, d > 10 4 ), this is problematic for at least three reasons: (i) training the metric ...

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### Comparison of Variable Selection Methods for Time-to-Event Data in High-Dimensional Settings

**dimensional**

**data**, the reference method to study associations with time-to-event endpoints is the Cox propor- tional hazards ...of

**high**-

**dimensional**

**data**(number of covariates > ...

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### Automated high-dimensional flow cytometric data analysis

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**dimensional**

**data**and have led to growing interest and recent activity in the development of new computa- tional tools and approaches ...

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