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Results tagged with k-means
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user 107579
k-means is a method to partition data into clusters by finding a specified number of means, k, s.t. when data are assigned to clusters w/ the nearest mean, the w/i cluster sum of squares is minimized
1
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How to estimate most important dimensions of the clusters after performing k-means?
To estimate point importance in each cluster, one way is to rank points within a cluster according to their distance from the centroid (in the case of K-means) or sample a data point according to its …
- 1,168
1
vote
Online clustering
Consider using Dirichlet Process K-means original paper with implementation on github. The DP means algorithm creates new clusters as more data arrives. It doesn't require a prior knowledge of the num …
- 1,168