An efficient model‐free approach to interaction screening for high dimensional data
Sign Up to like & getrecommendations! Published in 2023 at "Statistics in Medicine"
DOI: 10.1002/sim.9688
Abstract: An innovated model‐free interaction screening procedure called the MCVIS is proposed for high dimensional data analysis. Specifically, we adopt the introduced MCV index for quantifying the importance of an interaction effect among predictors. Our proposed… read more here.
Keywords: high dimensional; interaction screening; model free; dimensional data ... See more keywords
A geometric framework for outlier detection in high‐dimensional data
Sign Up to like & getrecommendations! Published in 2022 at "Wiley Interdisciplinary Reviews: Data Mining and Knowledge Discovery"
DOI: 10.1002/widm.1491
Abstract: Outlier or anomaly detection is an important task in data analysis. We discuss the problem from a geometrical perspective and provide a framework which exploits the metric structure of a data set. Our approach rests… read more here.
Keywords: geometric framework; structure; detection; dimensional data ... See more keywords
An analysis of multi-dimensional data containing emphasized items by self-organizing map and its application to sightseeing information analysis
Sign Up to like & getrecommendations! Published in 2017 at "Soft Computing"
DOI: 10.1007/s00500-015-2012-y
Abstract: One of the attractive features which a self-organizing map (SOM) possesses is a topology-preserving projection from the input layer to the competitive layer. Generally speaking, its correspondence is developed through training based on information representations… read more here.
Keywords: information; analysis; multi dimensional; dimensional data ... See more keywords
ASCRClu: an adaptive subspace combination and reduction algorithm for clustering of high-dimensional data
Sign Up to like & getrecommendations! Published in 2020 at "Pattern Analysis and Applications"
DOI: 10.1007/s10044-020-00884-7
Abstract: The curse of dimensionality in high-dimensional data is one of the major challenges in data clustering. Recently, a considerable amount of literature has been published on subspace clustering to address this challenge. The main objective… read more here.
Keywords: combination; high dimensional; subspace clustering; dimensional data ... See more keywords
LPM2DA: a lattice-based privacy-preserving multi-functional and multi-dimensional data aggregation scheme for smart grid
Sign Up to like & getrecommendations! Published in 2021 at "Cluster Computing"
DOI: 10.1007/s10586-021-03387-0
Abstract: The smart grid provides efficient transmission of energy and data. However, the frequent gathering of users’ consumption data discloses users’ privacy. Plenty of data aggregation schemes have been introduced to preserve the privacy of users’… read more here.
Keywords: multi dimensional; dimensional data; data aggregation; smart grid ... See more keywords
A novel feature learning framework for high-dimensional data classification
Sign Up to like & getrecommendations! Published in 2021 at "International Journal of Machine Learning and Cybernetics"
DOI: 10.1007/s13042-020-01188-2
Abstract: Feature extraction is an essential component in many classification tasks. Popular feature extraction approaches especially deep learning-based methods, need large training samples to achieve satisfactory performance. Although dictionary learning-based methods are successfully used for feature… read more here.
Keywords: high dimensional; classification; feature; framework ... See more keywords
On-The-Fly Processing of continuous high-dimensional data streams
Sign Up to like & getrecommendations! Published in 2017 at "Chemometrics and Intelligent Laboratory Systems"
DOI: 10.1016/j.chemolab.2016.11.003
Abstract: Abstract A novel method and software system for rational handling of time series of multi-channel measurements is presented. This quantitative learning tool, the On-The-Fly Processing (OTFP), develops reduced-rank bilinear subspace models that summarise massive streams… read more here.
Keywords: high dimensional; fly processing; time; dimensional data ... See more keywords
Analysis of Four-Dimensional Data for Total Body PET Imaging.
Sign Up to like & getrecommendations! Published in 2021 at "PET clinics"
DOI: 10.1016/j.cpet.2020.09.009
Abstract: The high sensitivity and total-body coverage of total-body PET scanners will be valuable for a number of clinical and research applications outlined in this article. read more here.
Keywords: body pet; total body; four dimensional; dimensional data ... See more keywords
Optimizing femur symmetry judgment using three-dimensional data correction scheme in fractures of the proximal femur.
Sign Up to like & getrecommendations! Published in 2022 at "Injury"
DOI: 10.1016/j.injury.2022.02.051
Abstract: BACKGROUND The application of the 3D printing mirror image model is based on the symmetry of the limbs. Different from image fusion to judge the similarity, based on the commonality of the limb morphology of… read more here.
Keywords: symmetry; three dimensional; data correction; dimensional data ... See more keywords
Machine-learned cluster identification in high-dimensional data
Sign Up to like & getrecommendations! Published in 2017 at "Journal of Biomedical Informatics"
DOI: 10.1016/j.jbi.2016.12.011
Abstract: Graphical abstract 3-D representation of high dimensional data following ESOM projection and visualization of group (cluster) structures using the U-matrix, which employs a geographical map analogy of valleys where members of the same cluster are… read more here.
Keywords: high dimensional; learned cluster; machine learned; dimensional data ... See more keywords
Stable feature screening for ultrahigh dimensional data
Sign Up to like & getrecommendations! Published in 2019 at "Journal of the Korean Statistical Society"
DOI: 10.1016/j.jkss.2018.11.003
Abstract: Abstract This paper is concerned with the stable feature screening for the ultrahigh dimensional data. To deal with the ultrahigh dimensional data problem and screen the important features, a set-averaging measurement is proposed. The model… read more here.
Keywords: screening ultrahigh; ultrahigh dimensional; feature screening; dimensional data ... See more keywords