Sentence examples for square distances from inspiring English sources

"I look at the sum of square distances between different magnetometer positions," explains Heenan.

Each component denotes the mean square distances for point y i to the kth NFL.

These 180-D m observations are partitioned into two sets S = {S1, S2} to minimize the within-cluster sum of square distances.

The native state is characterized by a distribution of root mean square distances (RMSD) from the NMR data that peaks at 1.8 Å, and is as low as 0.4 Å.

Suppose that a set of observations M = m1,…,m n,…,m N is given and the number of clusters is K, then we can define an objective function as the sum of square distances between a data point and its nearest cluster centers.

For simplicity, we assume Σ k is a diagonal matrix and its determinant is ({sigma ^{2}_{m}}), which is calculated as the mean of the square distances between the the mean vectors of the Gaussian model and their five nearest neighbors as follows: {sigma^{2}_{m}}= sum_{mathbf{x}_{i} in text{NN}_{5}({mu}_{m})} | mathbf{x}_{i}- {mu}_{m} |^{2}, (3).

Excess Welch square distance.

Average mean excess Welch square distance.

The square distance between and is defined as (15).

The maximum of the minimum square distance is then.

which models a Gaussian distribution from the square distance.