query: Why does dimensional analysis work?
positive_passages.docid: 123621
positive_passages.text: What justifies dimensional analysis?
negative_passages.docid: 57070
negative_passages.text: Dimensionality of null space when Trace is Zero
negative_passages.docid: 67967
negative_passages.text: Why does shrinkage work?
negative_passages.docid: 49582
negative_passages.text: How to visualize what canonical correlation analysis does (in comparison to what principal component analysis does)?
negative_passages.docid: 52827
negative_passages.text: Could negative dimension ever make sense?
negative_passages.docid: 44085
negative_passages.text: Intuition for multiple temporal dimensions
negative_passages.docid: 45159
negative_passages.text: difference between dimension and scale in blender
negative_passages.docid: 134262
negative_passages.text: How does the size of a cube area of effect work?
negative_passages.docid: 69386
negative_passages.text: What's the relationship between initial eigenvalues and sums of squared loadings in factor analysis?
negative_passages.docid: 152242
negative_passages.text: How can I map data to lower dimension?
negative_passages.docid: 1590
negative_passages.text: Why not approach classification through regression?
negative_passages.docid: 45485
negative_passages.text: Dimension of a subset
negative_passages.docid: 107310
negative_passages.text: How do I appropriately examine the dimensionality of binary data?
negative_passages.docid: 24928
negative_passages.text: Motivation behind introduction of measure theory
negative_passages.docid: 44431
negative_passages.text: The dimension of a subspace is less than dimension of the whole space.
negative_passages.docid: 154261
negative_passages.text: PCA when the dimensionality is greater than the number of samples
negative_passages.docid: 125622
negative_passages.text: If Resistivity = $\frac{RA}{L}$, why does it not depend on dimension?