Free reference · 596 entries
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Short, plain definitions of the terms that turn up in statistics and data science — what they mean, and how they relate to each other. Nothing to sign in for.
13 of 596 entries under K
- k-Means ClusteringThe k-means clustering method is used in non-hierarchical cluster analysis. The goal is to divide the whole set of objects into a predefined number (k) of clusters.
- k-Nearest neighborK-nearest-neighbor (K-NN) is a machine learning predictive algorithm that relies on calculation of distances between pairs of records.
- k-Nearest Neighbors ClassificationThe k-nearest neighbors (k-NN) classification is a method of classification that uses a training set chosen from the data as a point of reference in classifying observations.
- k-Nearest Neighbors PredictionThe k-nearest neighbors (k-NN) prediction is a method to predict a value of a target variable in a given record, using as a reference point a training set of similar objects.
- Kalman FilterKalman filter is a class of linear filters for predicting and/or smoothing time series. The value of the time series is usually a vector in a state space.
- Kalman Filter (Equations)The basic mathematics behind the idea of Kalman filter may be described as follows – Consider, for example, a Markov chain – i.e.
- Kaplan-Meier EstimatorThe Kaplan-Meier estimator is aimed at estimation of the survival function from censored life-time data.
- Kappa StatisticKappa statistic is a generic term for several similar measures of agreement used with categorical data.
- Kolmogorov-Smirnov One-sample TestThe Kolmogorov-Smirnov one-sample test is a goodness-of-fit test, and tests whether an observed dataset is consistent with an hypothesized theoretical distribution.
- Kolmogorov-Smirnov TestSee: Kolmogorov-Smirnov one-sample test and Kolmogorov-Smirnov two-sample test
- Kolmogorov-Smirnov Two-sample TestThe Kolmogorov-Smirnov two-sample test is a test of the null hypothesis that two independent samples have been drawn from the same population (or from populations with the same distribution).
- Kruskal – Wallis TestThe Kruskal-Wallis test is a nonparametric test for finding if three or more independent samples come from populations having the same distribution.
- KurtosisKurtosis measures the “heaviness of the tails” of a distribution (in compared to a normal distribution).
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