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Fractal-Based Methods as a Technique for Estimating the Intrinsic Dimensional...

B2FIND2026-04-29 收录

分形维数估计

高维数据

数据链接：

https://b2find.eudat.eu/dataset/add59ccb-8be8-5800-a45d-9f3c8191586a 数据链接链接失效反馈

官方服务：

资源简介：

INFORMATICA, 2016, Vol. 27, No. 2, 257-281

《INFORMATICA》期刊，2016年，第27卷第2期，第257-281页

应用场景：

高维数据

Lasso回归

The increased availability of high-dimensional data, and appeal of a “sparse” solution has made penalized likelihood methods commonplace. Arguably the most widely utilized of these methods is ℓ1 regul

DataCite Commons2021-09-29 更新100

Matrix Linear Discriminant Analysis

高维数据

线性判别分析

We propose a novel linear discriminant analysis (LDA) approach for the classification of high-dimensional matrix-valued data that commonly arises from imaging studies. Motivated by the equivalence of

DataCite Commons2024-02-13 更新40

Data from: A method for assessing phylogenetic least squares models for shape and other high-dimensional multivariate data

系统发育分析

高维数据

Studies of evolutionary correlations commonly utilize phylogenetic regression (i.e., independent contrasts and phylogenetic generalized least squares) to assess trait covariation in a phylogenetic con

DataONE2014-05-29 更新30

Tensor-Based Temporal Control for Partially Observed High-Dimensional Streaming Data

高维数据

自动控制

In advanced manufacturing processes, high-dimensional (HD) streaming data (e.g., sequential images or videos) are commonly used to provide online measurements of product quality. Although there exist

DataCite Commons2023-12-05 更新60

Comparison of accuracy and feature dimension under different methods based on mRMR.

特征选择算法

高维数据

Comparison of accuracy and feature dimension under different methods based on mRMR.

NIAID Data Ecosystem30