articleTop 1% cited
A Nonlinear Mapping for Data Structure Analysis
IEEE Transactions on Computers · 1969 · Vol. C-18(5) · pp. 401–409
John W. Sammon✉(Hanscom Air Force Base)
Abstract
An algorithm for the analysis of multivariate data is presented along with some experimental results. The algorithm is based upon a point mapping of N L-dimensional vectors from the L-space to a lower-dimensional space such that the inherent data "structure" is approximately preserved.
Neural Networks and ApplicationsFace and Expression RecognitionImage Retrieval and Classification TechniquesAlgorithmData structureComputer sciencePoint (geometry)Space (punctuation)Nonlinear systemData spaceMathematicsArtificial intelligenceGeometry
Citations
3,394
FWCI
27.11
field-weighted impact
References
10
Percentile
100%
vs. same field & year
Citations per year
Cited by
Graph-Theoretical Methods for Detecting and Describing Gestalt Clusters
IEEE Transactions on Computers · 1971 · 1,744 citations
Pattern analysis for machine olfaction: a review
IEEE Sensors Journal · 2002 · 574 citations
Data clustering
ACM Computing Surveys · 1999 · 13,065 citations
A Projection Pursuit Algorithm for Exploratory Data Analysis
IEEE Transactions on Computers · 1974 · 1,642 citations
Principal Component Analysis
Technometrics · 1988 · 8,686 citations
Curvilinear component analysis: a self-organizing neural network for nonlinear mapping of data sets
IEEE Transactions on Neural Networks · 1997 · 652 citations
Deep learning for neuroimaging: a validation study
Frontiers in Neuroscience · 2014 · 610 citations
Clustering of the self-organizing map
IEEE Transactions on Neural Networks · 2000 · 2,628 citations
Citation Network
How this paper connects to the literature. Drag to explore, click any node to open that paper.