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Dimension reduction and visualization of multiple time series data: a symbolic data analysis approach
Emily Chia Yu Su
, Han Ming Wu
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生物醫學資訊研究所
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引文 斯高帕斯(Scopus)
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Keyphrases
Dimensionality Reduction
100%
Data Analyze Approach
100%
Multiple Time Series Data
100%
Symbolic Data Analysis
100%
Path Point
100%
Principal Coordinate Analysis (PCoA)
50%
Sliced Inverse Regression
50%
Comparative Analysis
16%
Time Series Data
16%
Microarray Time Series Data
16%
Financial Data
16%
Novel Representation
16%
Vector Approach
16%
Point Representation
16%
New Addition
16%
Temporal Trajectory
16%
Data Analysis Framework
16%
Innovative Path
16%
Yeast Cell Cycle Data
16%
Computer Science
Time Series Data
100%
Multiple Time Series
100%
Data Analysis Approach
100%
Component Analysis
50%
Principal Components
50%
Analysis Framework
16%
Financial Data
16%
Dimension Reduction Method
16%
Interval Data
16%
Comparative Analysis
16%
Point Representation
16%
Dimensional Subspace
16%
Mathematics
Time Series Data
100%
Symbolic Data
100%
Principal Component Analysis
50%
Two Dimensions
16%
Factorials
16%
Reduction Method
16%
Dimensional Subspace
16%
Exploratory Data Analysis
16%
Point Representation
16%
Engineering
Data Series
100%
Principal Components
50%
Component Analysis
50%
Microarrays
16%
Comparative Analysis
16%
Interval Data
16%
Dimensional Subspace
16%
Data Table
16%
Neuroscience
Behavior (Neuroscience)
100%
Cell Cycle
100%