Cluster analysis (Clustering, 군집분석) is the task of grouping a set of objects in such a way that objects in the same group (called a cluster) are more similar (in some sense or another) to each other than to those in other groups (clusters). (https://en.wikipedia.org/wiki/Cluster_analysis)

Algorithms

• Connectivity-based: Hierarchical clustering
  • Single-linkage clustering
  • Complete linkage clustering
  • UPGMA
• Centroid-based: k-means clustering
• Distribution-based
  • Expectation–maximization algorithm
• Density-based

Incoming Links #

Related Articles (Article 0) #

• Classification
• Machine learning

Related Codes (Code 1) #

• scikit-learn

Suggested Pages #

• 0.358 Euclidean distance
• 0.311 Minkowski distance
• 0.131 Text-to-image model
• 0.043 Kubeflow
• 0.035 Scikit Flow
• 0.029 Support vector machine
• 0.024 WDL
• 0.019 Data science
• 0.011 Naive Bayes classifier
• 0.010 Stable Diffusion
• More suggestions...