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Results tagged with clustering
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user 34582
Cluster analysis is the task of partitioning data into subsets of objects according to their mutual "similarity," without using preexisting knowledge such as class labels. [Clustered-standard-errors and/or cluster-samples should be tagged as such; do NOT use the "clustering" tag for them.]
5
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How to determine which method is the most valid, reasonable clustering results?
Method 1: Cluster by K-means with initial centroid {27, 67.5}
Method 2: Cluster by K-means with initial centroid {22.5, 60}
Method 3: Agglomerative Clustering
How can I know which method gives a more … reasonable or valid clustering results? …
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