Search results
Results From The WOW.Com Content Network
The average silhouette of the data is another useful criterion for assessing the natural number of clusters. The silhouette of a data instance is a measure of how closely it is matched to data within its cluster and how loosely it is matched to data of the neighboring cluster, i.e., the cluster whose average distance from the datum is lowest. [8]
The K-groups of finite fields are one of the few cases where the K-theory is known completely: [2] for , = (() +) {/ (), =,For n=2, this can be seen from Matsumoto's theorem, in higher degrees it was computed by Quillen in conjunction with his work on the Adams conjecture.
The term "k-means" was first used by James MacQueen in 1967, [2] though the idea goes back to Hugo Steinhaus in 1956. [3]The standard algorithm was first proposed by Stuart Lloyd of Bell Labs in 1957 as a technique for pulse-code modulation, although it was not published as a journal article until 1982. [4]
The group K 1 (R) is closely related to the group of units R ×, and if R is a field, it is exactly the group of units. For a number field F, the group K 2 (F) is related to class field theory, the Hilbert symbol, and the solvability of quadratic equations over completions.
A bar chart can show the comparison of the actual versus the reference amount. [54] Frequency distribution: Shows the number of observations of a particular variable for a given interval, such as the number of years in which the stock market return is between intervals such as 0–10%, 11–20%, etc.
K-group or K group may refer to: A group in algebraic K-theory; A group in topological K-theory; A complemented group;
The mapping from rings of integers R to their corresponding class groups is functorial, and the class group can be subsumed under the heading of algebraic K-theory, with K 0 (R) being the functor assigning to R its ideal class group; more precisely, K 0 (R) = Z×C(R), where C(R) is the class group. Higher K groups can also be employed and ...
There are 6 attributes and 10 records in this data. There are two common methods for achieving k-anonymity for some value of k: Suppression. In this method, certain values of the attributes are replaced by an asterisk "*". All or some values of a column may be replaced by "*".