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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. Functional principal component analysis - Wikipedia

    en.wikipedia.org/wiki/Functional_principal...

    Functional principal component analysis (FPCA) is a statistical method for investigating the dominant modes of variation of functional data.Using this method, a random function is represented in the eigenbasis, which is an orthonormal basis of the Hilbert space L 2 that consists of the eigenfunctions of the autocovariance operator.

  5. Robust principal component analysis - Wikipedia

    en.wikipedia.org/wiki/Robust_principal_component...

    The 2014 guaranteed algorithm for the robust PCA problem (with the input matrix being = +) is an alternating minimization type algorithm. [12] The computational complexity is (⁡) where the input is the superposition of a low-rank (of rank ) and a sparse matrix of dimension and is the desired accuracy of the recovered solution, i.e., ‖ ^ ‖ where is the true low-rank component and ^ is the ...

  6. Active learning (machine learning) - Wikipedia

    en.wikipedia.org/wiki/Active_learning_(machine...

    Active learning is a special case of machine learning in which a learning algorithm can interactively query a human user (or some other information source), to label new data points with the desired outputs. The human user must possess knowledge/expertise in the problem domain, including the ability to consult/research authoritative sources ...

  7. Iberia Parish School System - Wikipedia

    en.wikipedia.org/wiki/Iberia_Parish_School_System

    The Iberia Parish School System is a school district headquartered in New Iberia, Louisiana, United States.The district serves all of Iberia Parish. [2]The city of Delcambre has portions located in Vermilion Parish, which is officially in the Vermilion Parish School District. [3]

  8. Catholic High School (New Iberia, Louisiana) - Wikipedia

    en.wikipedia.org/wiki/Catholic_High_School_(New...

    Until 1957, the school, established in 1918, had been called St. Peter's College, and was situated close to the church of the same name in the middle of New Iberia. The school catered for boys from 4th-12th grade. At the same time as the move to a new campus, the Brothers transferred ownership of the school to the Catholic parishes of the town.

  9. New Iberia High School (1926 building) - Wikipedia

    en.wikipedia.org/wiki/New_Iberia_High_School...

    It was built in 1926 and enlarged in 1939 to a design by William T. Nolan, and is the parish's only example of Classical Revival design. It served as a high school until 1966, and as a middle school thereafter until 1990. [3] [2] The building has since been converted to housing for senior citizens as the "School Days Apartments".