Squared Error Function

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A Squared Error Function is a squaring function of an estimator's error.



References

2014

  • (Wikipedia, 2014) ⇒ http://en.wikipedia.org/wiki/K-means_clustering#Description Retrieved:2014-10-20.
    • Given a set of observations (x1, x2, …, xn), where each observation is a d-dimensional real vector, k-means clustering aims to partition the n observations into k (≤ n) sets S = {S1S2, …, Sk} so as to minimize the within-cluster sum of squares (WCSS). In other words, its objective is to find: [math]\underset{\mathbf{S}} {\operatorname{arg\,min}} \sum_{i=1}^{k} \sum_{\mathbf x \in S_i} \left\| \mathbf x - \boldsymbol\mu_i \right\|^2 [/math] where μi is the mean of points in Si.

2011