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| Topic: |
Business
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| 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
General points of the essay
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