Sentence examples for minimizes the within-cluster from inspiring English sources

This method minimizes the within-cluster sum of squares [43].

K-means clustering is an unsupervised, interactive algorithm that minimizes the within-cluster sum of squared Euclidean distances from the cluster centroids.

We perform 100 initializations of the k-means algorithm, selecting the initialization that best minimizes the within-cluster sum of squares.

Generally k-means algorithm tries to minimize the within-cluster sum of squares, that is, to minimize.

These 180-D m observations are partitioned into two sets S = {S1, S2} to minimize the within-cluster sum of square distances.

Its aim is to find k clusters that minimize the within-cluster sum of squares, or squared Euclidean distance shown in (21) with (S={s_1,ldotsdots,s_k}) clusters and their centroids (varvec{D}_i).

The MATLAB function kmeans was used to classify the pixels into different clusters, by minimizing the within-cluster variation of the FRET values [37], [38].

At each step, the grouping is performed by minimizing the within-cluster sum of squares over all the partitions obtainable by joining two clusters from the previous step.

K-means clustering [ 15] aims to partition graphs to clusters that minimize the within-cluster sum of squares.

The objective of NMM is to maximize the between-class distance of samples while minimize the within-cluster distance.

hOne of the most widespread hierarchical clustering methods is Ward's method [ 56, 57], which attempts to generate clusters to minimize the within-cluster variance.