Brain Inspired Cortical Coding Method for Fast Clustering and Codebook Generation

. 2022 Nov 17;24(11):1678. doi: 10.3390/e24111678

Algorithm 2 k-means

Input
X input vectors,

{{\vec{x}}_{1}, {\vec{x}}_{2}, \dots, {\vec{x}}_{n}}

          k     number of clusters
    Output
          C     centroids,

{{\vec{c}}_{1}, {\vec{c}}_{2}, \dots, {\vec{c}}_{k}}

procedure K-means
for

i \leftarrow 1 \dots k

c_{i} \leftarrow

Random vector from X
          end for
          while not converged do
                Assign each vector in X to the closest centroid c
                for each

c \in C

c \leftarrow

mean of vectors assigned to c
                end for
          end while
    end procedure