<P> k - means clustering is a method of vector quantization , originally from signal processing , that is popular for cluster analysis in data mining . k - means clustering aims to partition n observations into k clusters in which each observation belongs to the cluster with the nearest mean , serving as a prototype of the cluster . This results in a partitioning of the data space into Voronoi cells . </P>
<P> k - means clustering is a method of vector quantization , originally from signal processing , that is popular for cluster analysis in data mining . k - means clustering aims to partition n observations into k clusters in which each observation belongs to the cluster with the nearest mean , serving as a prototype of the cluster . This results in a partitioning of the data space into Voronoi cells . </P>
what is frequently referred to as k - means clustering
what is frequently referred to as k - means clustering
a method of vector quantization , originally from signal processing , that is popular for cluster analysis in data mining
a method of vector quantization , originally from signal processing , that is popular for cluster analysis in data mining