python 图像主成分分析前需要降噪吗

python 图像主成分分析前需要降噪吗

有时候我们会测得很多变量，一一分析会增加分析的复杂性，并可能忽略他们的内在关系。在如此多的变量之中，有很多是相关的。人们希望能够找出它们的少数“代表”来对它们进行描述，叫做主成分分析。

from recsys.algorithm.factorize import svd svd = svd() svd.load_data(dataset) svd.compute(k=100, mean_center=true) itemid1 = 1 # toy story svd.similar(itemid1) # returns: # [(1, 1.0), # toy story # (3114, 0.87060391051018071), # toy story 2 # (2355, 0.67706936677315799), # a bug's life # (588, 0.5807351496754426), # aladdin # (595, 0.46031829709743477), # beauty and the beast # (1907, 0.44589398718134365), # mulan # (364, 0.42908159895574161), # the lion king # (2081, 0.42566581277820803), # the little mermaid # (3396, 0.42474056361935913), # the muppet movie # (2761, 0.40439361857585354)] # the iron giant itemid2 = 2355 # a bug's life svd.similarity(itemid1, itemid2) # 0.67706936677315799