• Analisis Multivariat (A)
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    reference (among others)
    slides (complete chapters)
    PART 1: Multivariate Random Variables
    Scatterplot3d - an R package for visualizing multivariate data
    More on Dimension Reduction Technique - Principal Component
    kernlab – An S4 Package for Kernel Methods in R
    kernel PCA - Application of kernel PCA and computational machine learning to exploration of metabolites strongly associated with diet
    mixKernel - Unsupervised multiple kernel learning for heterogeneous data integration
    PCAmixdata R Package - Multivariate Analysis of Mixed Data
    PCAmix - Outlier detection using PCA mix based T2 control chart
    Principal Components Analysis (PCA) of Time Series Using Simulated SineWaves
    More on Dimension Reduction Technique - Factor Analysis
    carmean2.dat
    MVAfactcarm.R
    bostonh.dat
    MVAfacthous.R
    More on FA, SEM = CFA + Path Analysis
    SEM (slide)
    SEM for Dummies
    SEM using R (lavan package)
    SEM using R (sem package)
    SEM using SPSS and AMOS
    PLS-SEM dengan WarpPLS
    The Causal Foundations of SEM
    Simultaneous Equation Model and Structural Equation
    PLS-SEM
    Formative vs. Reflective Measurement Model: Guidelines for SEM Research
    Cluster Analysis
    slide of the MVA book (Haerdle and Simar) - Clustering
    A Comprehensive Survey of Clustering Algorithms
    MVAclusfood.R
    food.dat
    Unsupervised method - Clustering
    More on Cluster Analysis
    Short review of Clustering
    Clustering in Time Series
    Analisis Cluster untuk Data Time Series
    reference 1 - Time-Series Clustering in R Using the dtwclust Package (the R Journal)
    reference 2 - Comparing time series clustering algorithms in R using dtwclust package
    reference 3 - Computing and Visualizing Dynamic Time Warping Alignments in R - The dtw Package (Journal of Stat Soft)
    reference 4 - TSclust - An R package for time series forecasting (Journal of Stat Soft)
    A Comprehensive Survey of Clustering Algorithms
    Mutual Information-Based Variable Selection on Latent Class Cluster Analysis
    more on clustering analysis
    CC GENERAL.csv
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    Analisis Multivariat (A)
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    8. Analisis Multivariat (A)
    9. Summary

    Analisis Multivariat (A)

    • Teacher: Bambang Widjanarko Otok
    • Teacher: Dedy Dwi Prastyo

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    Sukolilo | Manyar | Tjokroaminoto
    Kampus Institut Teknologi
    Sepuluh Nopember Surabaya
    Phone: 031-5994251-54, 5947274, 5945472
    Fax: 031-5923465, 5947845

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