DBSCAN

Applied sciences
Information engineering
Machine learning
Unsupervised learning

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Related lectures (32)

Structure Discovery: Machine Learning for Behavioral Data

Explores Bayesian Knowledge Tracing, Generalized Linear Models, and clustering algorithms for structure discovery in behavioral data.

Spectral Clustering: Theory and Applications

Explores spectral clustering theory, eigenvalue decomposition, Laplacian matrix, and practical applications in identifying clusters.

Introduction to Clustering: Methods and Applications

Covers the fundamentals of clustering in unsupervised learning and its practical applications.

Clustering Evaluation

Explores clustering evaluation using the RAND index and ontologies, followed by classic clustering algorithms.

Kernel K-means: Iterative Clustering Algorithm

Explores the Kernel K-means iterative clustering algorithm and its influence on cluster density and point proximity.

Characterisation of Clusters: Homogeneity, Separability

Explores centroid, medoid, homogeneity, separability in clustering, quality evaluation, stability, expert knowledge, and clustering algorithms.

Unsupervised Learning: Clustering Methods

Explores unsupervised learning through clustering methods like K-means and DBSCAN, addressing challenges and applications.

Statistical Physics of Clusters

Explores the statistical physics of clusters, focusing on complexity and equilibrium behavior.

Graph Coloring: Theory and Applications

Explores graph coloring theory, spectral clustering, community detection, and network structures.

Nonparametric Network Summaries

Covers nonparametric network summaries, centrality measures, network modularity, and clustering coefficients.

Graph Statistics: Random Graphs, Graph Homomorphisms, and Network Analysis

Explores graph statistics, random graph generation, network analysis, centrality measures, and clustering coefficients.

Network clustering

Explores network clustering, spectral clustering, k-means algorithm, eigenvalue properties, block model estimation, and structural similarity measurement.

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