1.Dimensionality reduction techniques applied to the item space tend to have the same effect by eliminating low-frequency items.
向商品空间应用维度降低技术，会得到与排除冷门商品那样相同的效果。
2.This paper compares the most popular dimensionality reduction and pattern classification methods used in criminal suspect face recognition.
比较了犯罪嫌疑人脸部识别中常用的数据降维和模式分类方法。
3.The most promising solution involves performing dimensionality reduction on the data, then indexing the reduced data with a spatial method.
最有效的解决方法是对时序数据进行维归约，然后对压缩后的数据建立空间索引。
4.As a new learning framework, the diffusion method realizes dimensionality reduction in a diffusion processing.
作为一种新的流形学习框架，扩散映射通过在扩散过程中保持扩散距离进行降维。
5.The Locally Linear Embedding(LLE) algorithm is an effective technique for nonlinear dimensionality reduction of high-dimensional data.
局部线性嵌入（LLE）算法是有效的非线性降维方法，时间复杂度低并具有强的流形表达能力。
6.The mapping table does not allow you to change the dimensionality of the lists in the input structure to match the output structure.
映射表不允许您更改输入结构中列表的维数来匹配输出结构。
7.In pattern recognition and in image processing, Feature extraction is a special form of dimensionality reduction.
在模式识别和图像处理领域中，特征提取是一种特殊的维数降阶的形式。
8.The challenge of data mining is dealing with the dimensionality of the data and the volume of it.
数据挖掘所面临的挑战在于数据的维数及其容量。
9.Finally, using multidimensional scaling, dimensionality of influencing factors of the soundscape is obtained.
再应用多维尺度分析，获得声景观评价影响因素的维度数。
10.Subsequently, principal component analysis (PCA) is used for dimensionality reduction.
然后，采用主成分分析法进行特征降维；