Why is dimensionality reduction always done before clustering?
123334
When do we combine dimensionality reduction with clustering?
126544
Constructing N-dimensional vectors out of point distances
104995
Evaluation measures of goodness or validity of clustering (without having truth labels)
61395
An example where the output of the k-medoid algorithm is different than the output of the k-means algorithm
141243
cluster labels and cluster centers (kmeans in R)
3768
Optimality in Clustering algorithms and an Optimality guaranteed clustering algorithm
98329
Cluster one-dimensional data optimally?
33427
Why is Euclidean distance not a good metric in high dimensions?
51084
Won't highly-correlated variables in random forest distort accuracy and feature-selection?
8751
Before running a ridge regression model, do I need to preform variable selection?
34949
Generating a high-dimensional dataset where nearest neighbor becomes meaningless
115109
Euclidean distance is usually not good for sparse data (and more general case)?
107224
Why you shouldn't upsample before cross validation
64141
K-means - comparing solutions with SSwithin elbow-method: minimum "too early", or non-monotonic curve
37256
K-means: Why minimizing WCSS is maximizing Distance between clusters?
29381
How to perform dimensionality reduction with PCA in R
157161
Hierarchical clustering with mixed type data - what distance/similarity to use?