query: Which type of feature scaling to use
positive_passages.docid: 9488
positive_passages.text: When conducting multiple regression, when should you center your predictor variables & when should you standardize them?
negative_passages.docid: 125513
negative_passages.text: Is there a way to scale by an absolute distance, rather than a percentage?
negative_passages.docid: 9663
negative_passages.text: Is it a good practice to always scale/normalize data for machine learning?
negative_passages.docid: 78419
negative_passages.text: Normalizing point cloud data
negative_passages.docid: 143741
negative_passages.text: Scaling a series of numbers
negative_passages.docid: 91168
negative_passages.text: Orthographic scale of camera in Blender
negative_passages.docid: 127407
negative_passages.text: Advice/literature on combining items with different response scales into composite scales?
negative_passages.docid: 99413
negative_passages.text: Are mean normalization and feature scaling needed for k-means clustering?
negative_passages.docid: 142784
negative_passages.text: For linear classifiers, do larger coefficients imply more important features?
negative_passages.docid: 22203
negative_passages.text: Data normalization and standardization in neural networks
negative_passages.docid: 57565
negative_passages.text: Scaling data that are on different orders of magnitude for plotting
negative_passages.docid: 8301
negative_passages.text: Is it possible to set different scale dependent visibility for one layer classifications?
negative_passages.docid: 1915
negative_passages.text: Scale settings for exporting to STL (for 3d printing)
negative_passages.docid: 74818
negative_passages.text: How to get correct scale values?
negative_passages.docid: 68388
negative_passages.text: Calculating geometry for feature class with x/y and Lat/Long values in different projections?
negative_passages.docid: 102449
negative_passages.text: Weighting features prior to SVM
negative_passages.docid: 149875
negative_passages.text: Why does increasing the number of features reduce performance?