1 We combine unitary nonlinear regression with multivariate linear regression, it can reduce the error sum of squares of the model and improve the precision of forecast.即把一元非线性回归和多元线性回归结合起来，构造一个混合回归模型，这样就减小了模型的残差平方和，从而提高预报的准确性。
least squares (redirected fromSum of squared error) Thesaurus Medical Acronyms least squares pl.n.Statistics A method of determining the curve that best describes the relationship between expected and observed sets of data by minimizing the sums of the squares of deviation between observed and expecte...
1 误差平方和(SSE The sum of squares due to error):¶ 举例:(下图中数据-0.2, 0.4, -0.8, 1.3, -0.7, 均为真实值和预测值的差) 在k-means中的应用: 公式各部分内容: 上图中: k=2 SSE图最终的结果,对图松散度的衡量.(eg:SSE(左图)<SSE(右图)) SSE随着聚类迭代,其值会越来越小,直到最后趋...
Square and function of this error are goal functions to be optimized: 翻译结果3复制译文编辑译文朗读译文返回顶部 The error sum of squares function is to optimize the objective function: 翻译结果4复制译文编辑译文朗读译文返回顶部 This error Square and function is to optimize the objective function: ...
Least squares I: Optimization 首先我们的目标是找到最小的均方误差。从简单入手呢,就是直接求数据的平均值,然后再去减他们,类似于这样: $$ \begin{aligned} y'&=y-\frac{1}{n}\sum_{i=1}^n y_i \ x'&=x-\frac{1}{n}\sum_{i=1}^n x_i \end{aligned} $$ 因为这样的最小化误差和 $b...
Given that a minor condition holds (e.g., the number of variables is greater than the number of clusters), a nontrivial lower bound for the sum-of-squares error criterion in K -means clustering is derived. By calculating the lower bound for several different situations, a method is develop...
aStandard Deviation,也称mean square error,是各数据偏离平均数的距离的平均数,它是离均差平方和平均后的方根,用σ表示。标准差是方差的算术平方根。标准差能反映一个数据集的离散程度。平均数相同的,标准差未必相同。 Standard Deviation, also called mean square error, is various data deviation mean value dis...
The standard error of the estimate is a measure of the accuracy of predictions. Recall that the regression line is the line that minimizes the sum of squared deviations of prediction (also called the sum of squares error). The standard error of the estimate is closely related to this ...
a近似函数 同所给数据点 (i=0,1,…,m)误差 (i=0,1,…,m)的大小常采用误差平方和 来度量。 The approximate function with gives the data point (i=0,1,…, m) error (i=0,1,…, m) size often to use the erroneous sum of squares to measure.[translate]...
Its advantage is that it makes no assumption about the distribution of data. In addition to the simple method which could be applied when the availability of the data on income distribution is low, we employ the curve fitting technique based on minimizing the error sum of squares in order to...