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  2. Principal component analysis - Wikipedia

    en.wikipedia.org/wiki/Principal_component_analysis

    Principal component analysis (PCA) is a linear dimensionality reduction technique with applications in exploratory data analysis, visualization and data preprocessing.. The data is linearly transformed onto a new coordinate system such that the directions (principal components) capturing the largest variation in the data can be easily identified.

  3. Kernel principal component analysis - Wikipedia

    en.wikipedia.org/wiki/Kernel_principal_component...

    Output after kernel PCA, with a Gaussian kernel. Note in particular that the first principal component is enough to distinguish the three different groups, which is impossible using only linear PCA, because linear PCA operates only in the given (in this case two-dimensional) space, in which these concentric point clouds are not linearly separable.

  4. Scree plot - Wikipedia

    en.wikipedia.org/wiki/Scree_plot

    In multivariate statistics, a scree plot is a line plot of the eigenvalues of factors or principal components in an analysis. [1] The scree plot is used to determine the number of factors to retain in an exploratory factor analysis (FA) or principal components to keep in a principal component analysis (PCA).

  5. ANOVA–simultaneous component analysis - Wikipedia

    en.wikipedia.org/wiki/ANOVA–simultaneous...

    Simultaneous component analysis is mathematically identical to PCA, but is semantically different in that it models different objects or subjects at the same time. The standard notation for a SCA – and PCA – model is: = ′ + where X is the data, T are the component scores and P are the component loadings.

  6. Common Cute Dog Behaviors Explained Are Making ... - AOL

    www.aol.com/common-cute-dog-behaviors-explained...

    800-290-4726 more ways to reach us. Sign in. Mail. ... Common Cute Dog Behaviors Explained Are Making Everybody Smile. ... circling their bed before laying down, and rolling over onto their backs ...

  7. Plot (graphics) - Wikipedia

    en.wikipedia.org/wiki/Plot_(graphics)

    Box plot : In descriptive statistics, a boxplot, also known as a box-and-whisker diagram or plot, is a convenient way of graphically depicting groups of numerical data through their five-number summaries (the smallest observation, lower quartile (Q1), median (Q2), upper quartile (Q3), and largest observation). A boxplot may also indicate which ...

  8. Multiple correspondence analysis - Wikipedia

    en.wikipedia.org/wiki/Multiple_correspondence...

    The Burt table is the symmetric matrix of all two-way cross-tabulations between the categorical variables, and has an analogy to the covariance matrix of continuous variables. Analyzing the Burt table is a more natural generalization of simple correspondence analysis , and individuals or the means of groups of individuals can be added as ...

  9. The 7 Dog Breed Groups, Explained (So You Can Know Your ... - AOL

    www.aol.com/7-dog-breed-groups-explained...

    The World Canine Federation recognizes 350 unique dog breeds. In the U.S. The American Kennel Club now recognizes 209 breeds. That’s…a lot of dogs. To better understand each breed, humans have ...