User:3mta3

• cluster analysis
• clustering high-dimensional data
• cluster analysis (in marketing)
• Determining the number of clusters in a data set

• Dimension reduction
• Unsupervised learning
• Density estimation

• k-means clustering
• Lloyd's algorithm
• Linde-Buzo-Gray algorithm
• k-medoids
• hierarchical clustering
• Single-linkage clustering
• UPGMA
• mixture model
• Chinese restaurant process
• Dirichlet process
• Pitman–Yor process

• Segmentation (image processing)
• Thresholding (image processing)
• Otsu's method
• cluster analysis (in marketing) (above)
• Market segment
• Cluster sampling
• Microtargeting
• Document clustering
• Latent Dirichlet allocation
• Psychometrics
• Pathfinder Networks

• Biclustering
• Canopy clustering algorithm (not really an algorithm, more a heuristic for speeding up)
• Constrained clustering (requires certain pairs either must or must not be in same cluster)
• Conceptual clustering
• Cobweb (clustering)
• Formal concept analysis
• Fuzzy clustering
• Fuzzy c-means on cluster analysis
• Spectral clustering on cluster analysis
• Locality sensitive hashing
• Artificial neural network (mention, but no explanation)

• Silhouette (clustering) (graphical representation)
• Cophenetic correlation
• Rand index
• Adjusted rand index
• Mutual information
• Adjusted Mutual Information

• Consensus clustering (doesn't really explain what it is)
• Information bottleneck method
• Correlation clustering

N for novel (i.e. vanity page for CS paper), N? for possibly novel

• Ants sleeping model N
• birch (data clustering) N
• Cure data clustering N
• Cluster-weighted modeling N?
• DBSCAN
• FLAME clustering N
• Girvan-Newman algorithm
• k-means++ N? (for choosing starting points for k-means)
• Neighbourhood components analysis N
• OPTICS algorithm N?
• QT (quality threshold) clustering on cluster analysis
• SUBCLU N?