Is curse of dimensionality more harmful for distance based models?
33427
Why is Euclidean distance not a good metric in high dimensions?
157062
Dimensionality reduction (SVD or PCA) on a large, sparse matrix
31153
Converting similarity matrix to (euclidean) distance matrix
149876
Dimensions of Scale (Gamma) and Offset (Beta) in Batch Norm
111321
When should we discretize/bin continuous independent variables/features and when should not?
20583
Strange distance measurements in distance matrix
56397
Why do smaller weights result in simpler models in regularization?
93897
nearest-neighbor algorithm efficiency
142784
For linear classifiers, do larger coefficients imply more important features?
107310
How do I appropriately examine the dimensionality of binary data?
37256
K-means: Why minimizing WCSS is maximizing Distance between clusters?
29579
Ways to measure distance from multivariate Gaussian (Mahalanobis distance)
145195
Do the predictions of a Random Forest model have a prediction interval?
125575
Dimensional regularization: removing more than just logarithmic divergencies?
141640
Sklearn - Choosing the right model for supervised learning/classification task
98369
Reducing number of point features considering minimal distance and spatial distribution
57060
Is normalizing the features always good for classification?