"based on least squares" is a correct and usable phrase in written English.
It is commonly used in mathematics and statistics to describe a method or approach that uses the least squares technique for finding the best-fit line or curve to a set of data points. Example: "The regression analysis was performed using the method of least squares to determine the relationship between the independent and dependent variables."
We applied kernel-based polytomous methods based on least squares support vector machines [ 13] and kernel logistic regression [ 14].
K-means cluster analysis was chosen to create cluster profiles using Blom-transformed T, E, SHBG and 3-α diol G over other exploratory methods, since it assigns each observation only to one group, is based on least squares, tends to find clusters with roughly the same number of observations, and is robust to outliers in the data.
The above-described existing methods are based on least squares approximation for inpainting.
The algorithms avoid the high computational complexity in previous solutions based on least squares estimation.
Base stations estimate channels usually based on least squares (LS) [3] or minimum mean square error (MMSE) [7 9] methods.
Parameters/SOC co-estimation [39] is a combination of online parameter identification and adaptive observer based on least squares technique.
The limitations of least-squares fitting and neural network are pointed out and a new scheme of system-level temperature compensation of RLG bias based on Least Squares-Support Vector Machine (LS-SVM) is proposed.
Multilateration based on Least-Squares (MLS) [15] is one widely used cyber method.
In this contribution, two commonly-used approaches based on least-squares and Kalman filter are described and analyzed for localization of one static target in the WSNs with distance, angle, or both distance and angle measurements, respectively.
As a prototype element implementation, we present a stable hexahedron based on least-squares strains.
The theoretical approach of this spatial warping technique is based on least-squares estimation.
