| 41. | A measure of spatial dispersion that is not based on the covariance matrix is the average distance between nearest neighbors.
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| 42. | The mean, standard deviation, variance-covariance matrix, and correlation matrix are calculated from the measurement vectors.
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| 43. | It is the analogue on the two-dimensional unit sphere of the bivariate normal distribution with an unconstrained covariance matrix.
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| 44. | Trace, the determinant, and the largest eigenvalue of the covariance matrix can be used as measures of spatial dispersion.
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| 45. | Then, we compute the covariance matrix of the data, and calculate the eigenvalues and corresponding eigenvectors of this covariance matrix.
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| 46. | Then, we compute the covariance matrix of the data, and calculate the eigenvalues and corresponding eigenvectors of this covariance matrix.
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| 47. | By comparison, KPCA begins by computing the covariance matrix of the data after being transformed into a higher-dimensional space,
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| 48. | The eigenvectors are derived from the covariance matrix of the probability distribution over the high-dimensional vector space of face images.
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| 49. | In 1980, White proposed a consistent estimator for the variance-covariance matrix of the asymptotic distribution of the OLS estimator.
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| 50. | The main difficulty of STAP is solving for and inverting the typically unknown interference covariance matrix, \ mathbf { R }.
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