query: PCA- does KMO need to be over 0.5?
positive_passages.docid: 154899
positive_passages.text: Is it valid to perform PCA if Kaiser-Meyer-Olkin (KMO) index is very low?
negative_passages.docid: 55967
negative_passages.text: What to do when your likelihood function has a double product with small values near zero - log transform doesn't work?
negative_passages.docid: 84446
negative_passages.text: How to project a new vector onto PCA space?
negative_passages.docid: 89237
negative_passages.text: PCA: Eigenvectors of opposite sign and not being able to compute eigenvectors with `solve` in R
negative_passages.docid: 55841
negative_passages.text: Fisher's exact test: 95% CI or p-value
negative_passages.docid: 112346
negative_passages.text: How to decide whether missing values are MAR, MCAR, or MNAR
negative_passages.docid: 22551
negative_passages.text: What can cause PCA to worsen results of a classifier?
negative_passages.docid: 67557
negative_passages.text: Imputation of missing values for PCA
negative_passages.docid: 45832
negative_passages.text: What is the relation between k-means clustering and PCA?
negative_passages.docid: 44844
negative_passages.text: How to tell Max CP?
negative_passages.docid: 11226
negative_passages.text: Can a probability distribution value exceeding 1 be OK?
negative_passages.docid: 154261
negative_passages.text: PCA when the dimensionality is greater than the number of samples
negative_passages.docid: 126886
negative_passages.text: Do the principal components change if we apply PCA more than once (recursively) on data?
negative_passages.docid: 18947
negative_passages.text: How small a quantity should be added to x to avoid taking the log of zero?
negative_passages.docid: 108187
negative_passages.text: When does $p^2$ divide $an^k + bp$?
negative_passages.docid: 88083
negative_passages.text: How do I know my k-means clustering algorithm is suffering from the curse of dimensionality?
negative_passages.docid: 146400
negative_passages.text: When finding outliers from the Interquartile range why I have to multiply by 1.5?