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dimensionality reduction

34 papers; 32 titles.

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Conference × Year × Title × Authors Extras Pages
PharmaSUG 2025 Visualize High Dimension Data Using t-SNE Jun Yang source 11
SESUG 2024 Investigating the Role of Radiomics in PET Image Analysis for Improved T-Stage Tumor Staging Victor Aderanti source 31
SESUG 2024 Unveiling the Diagnostic Potential of Radiomics-Based PET and CT Imaging through Statistical and Machine Learning Techniques Mostafa Zahed,
Janet Kireta,
Victor Aderanti,
Maryam Skafyan		 source 21
PharmaSUG CN 2024 Enhancing Patient Profile Visualization through Clustering Algorithms: An Exploration of Smart Data Presentation Techniques Zhengyuan Wen,
Kang Zhao		 source 8
PharmaSUG 2024 Visual discovery in Risk-Based Monitoring using topological models Kostiantyn Drach,
Iryna Kotenko		 source 31
PHUSE EU 2023 Detroit, Michigan: A Case Study for DEI Via Decentralised Clinical Trials (DCTs) Mark Rothe source
presentation source		 26
SESUG 2023 Unsupervised Dimension Reduction Techniques for Lung Cancer Diagnosis Based on Radiomics Janet Kireta,
Mostafa Zahed		 source 21
SESUG 2022 Application of Feature Selection and Dimension Reduction Techniques on Large-Scale CT Dataset for Lung Cancer Diagnosis Based on Radiomics Mostafa Zahed,
Maryam Skafyan		 source 22
SGF 2020 Apply the Key Ideas from Andrew Ng's Machine Learning Certification (Coursera) in SAS Viya Petri Roine source 9
SGF 2020 Principal Component Analysis Demystified Caroline Walker source 7
SGF 2020 Unsupervised Contextual Clustering of Abstracts Jacob Noble,
Himanshu Gamit		 source 7
PHUSE EU 2019 Sub-population Detection Using Graph-based Machine Learning Sergey Glushakov,
Kostiantyn Drach		 source 28
SGF 2019 Independent Component Analysis Using the ICA Procedure Ning Kang source 15
MWSUG 2017 Dimensionality Reduction using Hadamard, Discrete Cosine and Discrete Fourier Transforms in SAS Mohsen Asghari,
Aliasghar Shahrjooihaghighi,
Ahmad Desoky		 12
SGF 2017 Temporal Text Mining: A Thematic Exploration of Don Quixote Ray Wright source 16
SGF 2014 What's New in SAS Enterprise Miner 13.1 Jared Dean,
Jonathan Wexler		 source 16
SCSUG 2012 An analysis of customer preference of automobile products using SAS. Akkarapol Sa-ngasoongsor source 10
SGF 2012 A New Age of Data Mining in the High-Performance World David R. Duling,
Wayne Thompson,
Jared Dean		 source 11
WUSS 2011 Principal Component Regression as a Countermeasure against Collinearity Chong Ho Yu source 7
NESUG 2011 Feature Selection and Dimension Reduction Techniques in SAS Sassoon Kosian,
Varun Aggarwal		 6
SGF 2010 Successful Product Creation by Using Analytics to Discover What Consumers Value Ted Lang,
William Neafsey		 source 11
SGF 2009 SAS and JMP Integration for Implementing a Clustering Algorithm for High Dimension Low Sample Size Data George von Borries source 11
SCSUG 2008 Transaction Tracing Liang Xie 7
MWSUG 2005 Mining Transactional And Time Series Data Michael J. Leonard 26
SUGI 2005 Mining Transactional And Time Series Data Michael J. Leonard,
Brenda Wolfe		 source 26
NESUG 2004 Using SAS at SAS: The Mining of SAS Technical Support Annette M. Sanders,
Craig DeVault		 22
SESUG 2004 Using SAS at SAS: The Mining of SAS Technical Support Annette M. Sanders,
Craig DeVault		 source 22
MWSUG 2004 Using SAS at SAS: The timing of SAS Tech Support Annette M. Sanders,
Craig DeVault		 22
SUGI 2004 Using SAS at SAS: The Mining of SAS Technical Support Annette M. Sanders,
Craig DeVault		 source 23
NESUG 1996 Statistical Analysis of Self-Organizing Maps Susan B. Garavaglia,
Asha Sharma		 10
SCSUG 1994 On A More Efficient Use of Quadratic Logistic Discrimination Dean M. Young,
Samuel L. Seaman		 3
SEUGI 1994 Graphical Extensions for Principal Component Analysis (Insight of a Dream PCA) Philippe Besse source 16
SUGI 1994 Neural Networks and Statistical Models Warren S. Sarle source 13
SUGI 1987 Low-Dimensional Representation of High-Dimensional Data for Multiple Populations with Unequal Covariance Matrices Virgil R. Marco,
Danny W. Turner,
Dean M. Young		 source 6

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