Squared Error Function

Context:
- It can range from being Mean Squared Error to being Median Squared Error to being ...
Example(s):
- Squared Error Loss Function.
See: Error, Mean Squared Error.

References

(Wikipedia, 2014) ⇒ http://en.wikipedia.org/wiki/K-means_clustering#Description Retrieved:2014-10-20.
- Given a set of observations (x₁, x₂, …, x_n), where each observation is a d-dimensional real vector, k-means clustering aims to partition the n observations into k (≤ n) sets S = {S₁, S₂, …, S_k} so as to minimize the within-cluster sum of squares (WCSS). In other words, its objective is to find: [math]\displaystyle{ \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 μ_i is the mean of points in S_i.