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Topic: Business
Number of pages / Number of words: 4 / 842
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Examples are,

Divisive clustering - start by treating all objects as if they are part of a single large cluster, then divide the cluster into smaller and smaller clusters

Agglomerative clustering - start by treating each object as a separate cluster, then group them into bigger and bigger clusters

examples:

Centroid methods - clusters are generated that maximize the distance between the centers of clusters (a centroid is the mean value for all the objects in the cluster)

Variance methods - clusters are generated that minimize the within-cluster variance

example:

Ward's Procedure - clusters are generated that minimize the squared Euclidean distance to the center mean

Linkage methods - cluster objects based on the distance between them...


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Examples are,

Divisive clustering - start by treating all objects as if they are part of a single large cluster, then divide the cluster into smaller and smaller clusters

Agglomerative clustering - start by treating each object as a separate cluster, then group them into bigger and bigger clusters

examples:

Centroid methods - clusters are generated that maximize the distance between the centers of clusters (a centroid is the mean value for all the objects in the cluster)

Variance methods - clusters are generated that minimize the within-cluster variance

example:

Ward's Procedure - clusters are generated that minimize the squared Euclidean distance to the center mean

Linkage methods - cluster objects based on the distance between them...


Essay fragment

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