K-Means : K-means is a popular clustering algorithm that groups similar data points together into clusters. It is an iterative process that involves dividing a dataset into a specified number of clusters (K) and then assigning each data point to the cluster with the closest mean. For example, let’s say we have a dataset of […]

Klotz test : The Klotz test is a statistical procedure that is used to determine whether two or more samples have equal variances. This test is commonly used in experimental research to assess the homogeneity of variances between different groups of subjects. One example of the Klotz test would be a study that compares the […]

Kleiner-Hartigan trees : Kleiner-Hartigan trees, also known as K-H trees, are a type of data structure used to represent data sets in a hierarchical manner. They are named after the two researchers, William Kleiner and John Hartigan, who first proposed the concept in 1980. K-H trees are similar to other hierarchical data structures, such as […]

Khinchin theorem : Khinchin theorem is a mathematical result that states that, in a given sequence of numbers, the average of the logarithms of those numbers converges to a constant value. This constant value is known as the Khinchin constant and is denoted by the letter “K”. One simple example of the Khinchin theorem is […]

Karber method : The Karber method is a technique used in pharmacology to determine the bioavailability of a drug in a biological system. Bioavailability refers to the amount of a drug that is able to reach its target site of action in the body and produce a therapeutic effect. The Karber method involves administering a […]

Kappa coefficient : The Kappa coefficient is a statistical measure of inter-rater reliability, or the degree of agreement between two or more raters who are evaluating the same items. It is commonly used in the fields of psychology and sociology, as well as other disciplines where subjective judgments are being made. The Kappa coefficient is […]

Kalman filter : The Kalman filter is a mathematical algorithm that uses a series of data measurements and predictions to estimate the state of a system or process. It is commonly used in applications where the underlying process is uncertain or noisy, such as in tracking the position and velocity of a moving object or […]

What is Kaiser’s rule ? Kaiser’s rule is a statistical concept that states that the number of factors that can be extracted from a data set is equal to the number of eigenvalues greater than 1. This rule is also known as the Kaiser criterion and is often used in factor analysis, which is a […]

Kaggle : Kaggle is a platform for data scientists and machine learning practitioners to compete in various competitions to solve complex data-driven problems. These competitions typically involve working with large amounts of data, developing and training machine learning models, and making predictions or classifications on a given dataset. One example of a competition on Kaggle […]

( k1 , k2 )-design : A (k1, k2)-design is a type of combinatorial design that is used in the field of design of experiments. It is a mathematical model that specifies the arrangement of experimental units in an experiment. In a (k1, k2)-design, the experimental units are divided into k1 groups, called blocks, and […]