A High-Dimensional Feature Clustering Approach to Support Knowledge-Assisted Visualization

Computers and Graphics - United Kingdom
doi 10.1016/j.cag.2009.06.006
Full Text
Abstract

Available in full text

Date
Authors
Publisher

Elsevier BV

Related search

A Game Theoretic Approach for Feature Clustering and Its Application to Feature Selection

Lecture Notes in Computer Science
Computer ScienceTheoretical Computer Science
2011English

Three Dimensional Visualization to Support Command and Control

1997English

KSOMKM: An Efficient Approach for High Dimensional Dataset Clustering

International Journal of Electrical Energy
2013English

An Information-Theoretic Approach to Unsupervised Feature Selection for High-Dimensional Data

2019English

High-Dimensional Data Visualization

Nature Methods
BiochemistryBiotechnologyCell BiologyMolecular Biology
2020English

Optimized Bi-Dimensional Data Projection for Clustering Visualization

Information Sciences
ControlSystems EngineeringManagementTheoretical Computer ScienceComputer Science ApplicationsInformation SystemsArtificial IntelligenceSoftware
2013English

A Knowledge Based Approach to User Support for Robot Programming

2018English

Knowledge-Assisted Approach to Identify Pathways With Differential Dependencies

2015English

A New Variant of Radial Visualization for Supervised Visualization of High Dimensional Data

Transport and Communications Science Journal
2019English

Amanote Research

Note-taking for researchers

Follow Amanote

© 2024 Amaplex Software S.P.R.L. All rights reserved.

Privacy PolicyRefund Policy