Fundamentals of Statistics contains material of various lectures and courses of H. Lohninger on statistics, data analysis and chemometrics......click here for more. |
Home Multivariate Data Modeling Classification and Discrimination Cluster Analysis k-Means Clustering | |||||||||
See also: KNN classification | |||||||||
k-Means ClusteringK-means clustering is one of the simplest exchange methods. It may be used for larger datasets as it is rather quick if only a few cluster centers are involved. K-means clustering requires the number of clusters k to be specified by the user.From a mathematical viewpoint k-means clustering is equivalent to an minimisation of the target function where is the distance between the datapoint i and the cluster center j.
Algorithm
Disadvantages of the k-means algorithm Apart from the simple and quick implementation the k-means procedure exhibits a few disadvantages which must not be overlooked:
|
|||||||||
Home Multivariate Data Modeling Classification and Discrimination Cluster Analysis k-Means Clustering |