lecapching

  The K-K form is a type of unauthorized learning that is used to describe the data (i.e. lack of information about categories or groups). The purpose of this deployment is to obtain information groups with the fact that the number of K agents representing the variable is assigned to assign the data point to each group K as given attributes. Data points are divided into different versions. K-results mean that the clustering algorithm: 1. K, which can be used to mark new information 2. Training marks (each data point was assigned to one group) Instead of identifying groups before you preview them, it will allow you to search for and analyzes identified groups. The "Select K" section below describes how many groups can be identified. Each category of groups is a set of behavioral values that define groups. The middle-value test can be used to describe the type of group that represents each group. Introduction K-means presents the algorithm: K is a typical business examples The