feature space

feature space的基本解释

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特征空间

与feature space相关的网络例句 [注：此内容来源于网络，仅供参考]

Linear feature extraction in feature space corresponds to nonlinear feature extraction in input space.

特征空间中的线性特征提取对应于输入空间的非线性特征提取。

By using the kernel function, the input space is mapped to a high dimension feature space where the data are expected to be more separable, the initial centroids in the feature space are selected by applying the KRA algorithm, and the large and small clusters are partitioned and the outliers can be split from the large clusters iteratively after the kk-means clustering. As a result, the audit data can be clustered better. Secondly, the closed sequential patterns mining algorithm CloSpan is improved according to the restrictions that is composed of the axis properties and reference properties.

该方法通过核函数把数据样本空间映射到一个高维的特征空间，使数据在新的空间中具有更好的可分离性；在特征空间采用KRA算法选取初始聚类中心，然后在核k-means聚类的基础上，划分出大簇小簇并在大簇中分离出异类再次进行核聚类，从而不断地优化聚类结果。

This method first maps training data into a high dimensional feature space through kernel function concept in Support Vector Machine and constructs orthogonal space in the feature space. Then it maps the data from feature space into the orthogonal space and computes Fisher criterion based global orthogonal discriminants.

首先应用支持向量机中核函数的概念，将样本隐式地映射到特征空间，然后构造特征空间的正交空间，再将特征空间样本映射到特征空间的正交空间，求解基于Fisher的全局正交鉴别矢量集。

与feature space相关的网络解释 [注：此内容来源于网络，仅供参考]

spectrum response curve：波谱响应曲线

03.325 波谱特征曲线 spectrum character curve | 03.326 波谱响应曲线 spectrum response curve | 03.327 波谱特征空间 spectrum feature space

spectrum response curve：波谱回应曲线

03.325 波谱特徵曲线spectrum character curve | 03.326 波谱回应曲线spectrum response curve | 03.327 波谱特徵空间spectrum feature space