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Concept

Cluster analysis

Related lectures (31)

Clustering & Density Estimation Log in to Mediaspace to watch this video

Covers clustering, PCA, LDA, K-means, GMM, KDE, and Mean Shift algorithms for density estimation and clustering.

Clustering: Unsupervised Learning Log in to Mediaspace to watch this video

Covers clustering algorithms, evaluation methods, and practical applications in machine learning.

Clustering: Hierarchical and K-means Methods Log in to Mediaspace to watch this video

Introduces hierarchical and k-means clustering methods, discussing construction approaches, linkage functions, Ward's method, the Lloyd algorithm, and k-means++.

Dimensionality Reduction: PCA and LDA Log in to Mediaspace to watch this video

Covers dimensionality reduction techniques like PCA and LDA, clustering methods, density estimation, and data representation.

Characterisation of Clusters: Homogeneity, Separability Log in to Mediaspace to watch this video

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

Clustering: K-Means Log in to Mediaspace to watch this video

Covers clustering and the K-means algorithm for partitioning datasets into clusters based on similarity.

K-means Algorithm Log in to Mediaspace to watch this video

Covers the K-means algorithm for clustering data samples into k classes without labels, aiming to minimize the loss function.

Spin Glasses and Bayesian Estimation Log in to Mediaspace to watch this video

Covers the concepts of spin glasses and Bayesian estimation, focusing on observing and inferring information from a system closely.

Clustering & Density Estimation Log in to Mediaspace to watch this video

Covers dimensionality reduction, clustering, and density estimation techniques, including PCA, K-means, GMM, and Mean Shift.

Clustering: Principles and Methods Log in to Mediaspace to watch this video

Covers the principles and methods of clustering in machine learning, including similarity measures, PCA projection, K-means, and initialization impact.

Structure Discovery: Machine Learning for Behavioral Data Log in to Mediaspace to watch this video

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