Dimension reduction issues in self-organizing maps (SOM)
126861
Dimensionality reduction using self-organizing map
44904
Neural Networks input data normalization and centering
70425
Valid references on origins of Machine Learning, Statistical Learning and Data Mining
99413
Are mean normalization and feature scaling needed for k-means clustering?
28414
Clustering on the output of t-SNE
93897
nearest-neighbor algorithm efficiency
77090
Feature map for the Gaussian kernel
46518
Cross-validation techniques for time series data
34931
How to understand "nonlinear" as in "nonlinear dimensionality reduction"?
79467
Mapping k-means cluster centers and origins (measuring k-means accuracy)
156166
PCA of non-Gaussian data
81918
Multicollinearity in Decision Tree
156972
Scale-invariant analysis of time series
121138
Extreme learning machine: what's it all about?
101622
Choosing number of principal components to retain
117444
Clustering Algorithm for Mapping Application
86800
Unsupervised learning for anomaly detection