Flashcard Set: Principles of Data Mining
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Data mining: in statistics, a model ... Data mining: coxcomb plot Data mining: in classification the v... Data mining: score functions _______... Data mining: ordinal scale Data mining: ratio scales Data mining: nominal scales Data mining: interval scale Data mining: representational measur... Data mining: common way to deal with... Data mining: what is used to handle ... Data mining: sample covariance betwe... Data mining: sample correlation coef... Data mining: covariance and correlat... Data mining: Muhalanobis distance be... Data mining: Minkowski or L sub lamd... Data mining: the Euclidean distance ... Data mining: for multivariate binary... Data Mining: Lagrange multiplier met... Data Mining: what is Lagrange functi... Data Mining: factor analysis Data Mining: projection pursuit methods Data Mining: scree plot Data Mining: basic algorithm for pri... Data Mining: principle component ana... Data Mining: 1st step in principle c... Data Mining: when to use covariance ... Data Mining: 2nd step in principle ... Data Mining: what to do with biggest... Data Mining: loading in principle co... Data Mining: component score in prin... Data mining: biplot Data mining: multivariate random number Data mining: the density function f(x... Data mining: the density function of ... Data mining: Simpson's paradox Data mining: multidimensional scaling... Data mining: bias of estimator theta Data mining: maximum likelihood estim... Data mining: sufficient statistic Data mining: Bayesian statistics trea... Data mining: reciprocals of variances... Data mining: Fisher information Data mining: Jeffreys prior Data mining: Markov chain Monte Carlo Data mining: likelihood ratio Data mining: a suitable test for inde... Data mining: Bonferroni inequality Data mining: stratified random sampling Data mining: to be considered an alg...
Data mining: in statistics, a model ... Data mining: coxcomb plot Data mining: in classification the v... Data mining: score functions _______... Data mining: ordinal scale Data mining: ratio scales Data mining: nominal scales Data mining: interval scale Data mining: representational measur... Data mining: common way to deal with... Data mining: what is used to handle ... Data mining: sample covariance betwe... Data mining: sample correlation coef... Data mining: covariance and correlat... Data mining: Muhalanobis distance be... Data mining: Minkowski or L sub lamd... Data mining: the Euclidean distance ... Data mining: for multivariate binary... Data Mining: Lagrange multiplier met... Data Mining: what is Lagrange functi... Data Mining: factor analysis Data Mining: projection pursuit methods Data Mining: scree plot Data Mining: basic algorithm for pri... Data Mining: principle component ana... Data Mining: 1st step in principle c... Data Mining: when to use covariance ... Data Mining: 2nd step in principle ... Data Mining: what to do with biggest... Data Mining: loading in principle co... Data Mining: component score in prin... Data mining: biplot Data mining: multivariate random number Data mining: the density function f(x... Data mining: the density function of ... Data mining: Simpson's paradox Data mining: multidimensional scaling... Data mining: bias of estimator theta Data mining: maximum likelihood estim... Data mining: sufficient statistic Data mining: Bayesian statistics trea... Data mining: reciprocals of variances... Data mining: Fisher information Data mining: Jeffreys prior Data mining: Markov chain Monte Carlo Data mining: likelihood ratio Data mining: a suitable test for inde... Data mining: Bonferroni inequality Data mining: stratified random sampling Data mining: to be considered an alg...
