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word2vec 相比之前的 Word Embedding 方法好在什么地方? - 知乎 [4] What is the connection between PCA and Word2Vec in terms of word embedding? Is there an empiric superiority between the two? [5] GloVe: Global Vectors for Word Representation [6] Improving Distributional Similarity with Lessons Learned from Word Embeddings [7] Linguistic Regularities in Sparse and Explicit Word Representations
R统计绘图-PCA分析绘图及结果解读 (误差线,多边形,双Y轴图、球形检验、KMO和变量筛选等) 根据PCA分析的目的,有时专家审稿会要求对原始变量进行Bartlett's test of sphericity (球形检验)和Kaiser-Meyer-Olkin Measure of Sampling Adequacy (KMO采样充分性检验),检验数据是否合适进行PCA (因子)分析,还要求对变量进行筛选 (communality<0 5)的变量。