Help documentation-Translation-statistics toolbox-exploratory Data analysis-cluster analysis-hierarchical Clustering (linkage) (6)

Example

Compare Cluster Assignments to Clusters

Import the sample data.

Load Fisheriris

From the Anderson Iris Floral Data set, the ward linkage calculates four clusters and ignores the type information.

Z = Linkage (MEAs, ' Ward ', ' Euclidean ');

c = Cluster (Z, ' Maxclust ', 4);

The relationship between cluster results and three species was observed.

Crosstab (c,species)

Print the first 5 lines of Z.

firstfive = Z (1:5,:)

Generates a system tree graph of Z.

Dendrogram (Z)

Clustering the data and plotting the results

Randomly generate sample data for 20,000 observation points.

RNG (' default ')% for reproducibility

X = rand (20000,3);

Use Ward's linkage to generate a hierarchical tree.

Z = Linkage (X, ' Ward ', ' Euclidean ', ' savememory ', ' on ');

If you set savememory to ' off ', you will receive a memory overflow error if your computer does not have enough memory to hold the distance matrix.

Cluster data into 4 groups and print the results.

c = Cluster (Z, ' Maxclust ', 4);

Scatter3 (X (:, 1), X (:, 2), X (:, 3), 10,c)

Help documentation-Translation-statistics toolbox-exploratory Data analysis-cluster analysis-hierarchical Clustering (linkage) (6)