Kmeans clustering usage of matlab

The Kmeans function uses the following:

[Idx,c,sumd,d] = Kmeans (x,2, ' Distance ', ' City ', ' replicates ', 5, ' Options ', opts);

The parameters have the following meanings:
IDX: The category in which each sample point resides
C: The center point coordinate position of the k*p,K is the category of the cluster
SUMD: The sum of the distances from each point to the center point within each class
D: Distance from each point to a variety of center points N*k

x represents the data matrix of the cluster to be clustered;

2 indicates the number of cluster categories;

Kmeans clustering usage of matlab