Tools

• RPS 2.0
• TISEAN 3.0.1 - Nonlinear Time Series Analysis
• TKDE Toolbox
• TSTOOLS
• Matlab
  • gmdistribution class
  • Clustering Using Gaussian Mixture Models
  • Cluster Data from Mixture of Gaussian Distributions
  • Cluster Gaussian Mixture Data Using Soft Clustering
  • Tune Gaussian Mixture Models
  • pca, Analyze Quality of Life in U.S. Cities Using PCA
  • svd
  • Theodoridis, S: Machine Learning code
  • FastICA

Simulations and Demos

• Interactive logistic map
• Matlab chaotic generators demo
• Matlab Forecast Mutiplicative ARIMA Model
• Box-Jenkins Model Selection
• Expectation Maximization Demo
• K-means Demo
• Visual PCA
• Cocktail party problem

Notes

• Dimensionality Reduction
  • Lesson 7 - Principal Components Analysis (PCA)
  • Lesson 8 - Canonical Correlation Analysis (CCA)

Previous Paper Titles

• A roll eccentricity sensor for strip rolling mill based on wavelet theory
• A support vector machine approach for improving the classification of myocardial ischemia using Holter ECG data
• Analyzing chaotic pseudorandom number generators for periodicity induced by finite precision floating-point representation
• Attractor identification for ECG rhythms
• Automatic call-type classification and speaker identification of bottlenose dolphins (tursiops truncatus)
• B-spline for time series gene expression
• Detecting determinism in speech phonemes
• Detecting nonlinear regimes in temperature time series
• Diagnosis of stator winding inter-turn shorts in induction machine pwm-fed drive systems using time-series data mining technique
• Doppler ultrasound wall movement denoising technique review
• Elephant individual acoustic identification using time-dependent largest Lyapunov exponents
• Integrative technique for the determination of QT interval
• Locating patterns in phase space by decision trees
• Multiple pattern length weekly financial time series prediction with portfolio optimization
• Nonlinear modeling: genetic programming vs. fast evolutionary programming
• Nonlinear speech enhancement methods using phase space reconstructions and singular value decomposition
• Novel SVD features for speech recognition
• Pattern detection and prediction of nonlinear time-series from phase-space embedding using self-organizing neural networks
• Phoneme classification using naive Bayes classifier in reconstructed phase space
• Real-time noise reduction using phase space reconstruction, part I - nearest neighbor searching
• Reconstructed phase space clustering with application to gene expression analysis
• Reconstructed phase space eigenmoments for robust speech recognition
• Selecting dimensions and delay values for a time-delay embedding using a genetic algorithm
• Stock trend prediction using time series data mining
• Time series analysis by the combination of phase space and rough set method
• Using data mining to identify non-sense
• WEKA applied to clickstream analysis: the KDD 2000 cup revisited