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- K-medians_clustering abstract "In statistics and data mining, k-medians clustering is a cluster analysis algorithm. It is a variation of k-means clustering where instead of calculating the mean for each cluster to determine its centroid, one instead calculates the median. This has the effect of minimizing error over all clusters with respect to the 1-norm distance metric, as opposed to the square of the 2-norm distance metric (which k-means does.)This relates directly to the k-median problem which is the problem of finding k centers such that the clusters formed by them are the most compact. Formally, given a set of data points x, the k centers ci are to be chosen so as to minimize the sum of the distances from each x to the nearest ci.The criterion function formulated in this way is sometimes a better criterion than that used in the k-means clustering algorithm, in which the sum of the squared distances is used. The sum of distances is widely used in applications such as facility location.The proposed algorithm uses Lloyd-style iteration which alternates between an expectation (E) and maximization (M) step, making this an Expectation–maximization algorithm. In the E step, all objects are assigned to their nearest median. In the M step, the medians are recomputed by using the median in each single dimension.".
- K-medians_clustering wikiPageExternalLink help13.cgi?cluster+kmedians.
- K-medians_clustering wikiPageID "12069242".
- K-medians_clustering wikiPageRevisionID "605450785".
- K-medians_clustering hasPhotoCollection K-medians_clustering.
- K-medians_clustering subject Category:Data_clustering_algorithms.
- K-medians_clustering subject Category:Operations_research.
- K-medians_clustering subject Category:Statistical_algorithms.
- K-medians_clustering type Abstraction100002137.
- K-medians_clustering type Act100030358.
- K-medians_clustering type Activity100407535.
- K-medians_clustering type Algorithm105847438.
- K-medians_clustering type Cognition100023271.
- K-medians_clustering type DataClusteringAlgorithms.
- K-medians_clustering type Datum105816622.
- K-medians_clustering type Event100029378.
- K-medians_clustering type Information105816287.
- K-medians_clustering type Procedure101023820.
- K-medians_clustering type PsychologicalFeature100023100.
- K-medians_clustering type Rule105846932.
- K-medians_clustering type StatisticalAlgorithms.
- K-medians_clustering type YagoPermanentlyLocatedEntity.
- K-medians_clustering comment "In statistics and data mining, k-medians clustering is a cluster analysis algorithm. It is a variation of k-means clustering where instead of calculating the mean for each cluster to determine its centroid, one instead calculates the median.".
- K-medians_clustering label "K-medians clustering".
- K-medians_clustering label "K-medians".
- K-medians_clustering sameAs m.0ch4lzs.
- K-medians_clustering sameAs Q4041956.
- K-medians_clustering sameAs Q4041956.
- K-medians_clustering sameAs K-medians_clustering.
- K-medians_clustering wasDerivedFrom K-medians_clustering?oldid=605450785.
- K-medians_clustering isPrimaryTopicOf K-medians_clustering.