Clustering and Classification methods for Biologists


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General

Introduction (home page)

Brief outline of methods covered

Sponsors

Key navigation short cuts

Short glossary

Additional resources

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Background

Short review of methods

Introduction to clustering and classification

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Cluster methods

Hierarchical cluster analysis

k-means clustering

Self-organising maps

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Projection methods (ordination)

Principal Coordinates Analysis (short)

Principal Components Analysis

Correspondence analysis (short)

Canonical Correspondence analysis (short)

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Classifiers

GLM

Discriminant analysis

Logistic Regression

Generalised Additive Model

Decision trees

Decision trees

Random forests

Artificial neural network

Neural network

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Accuracy

Measuring classification accuracy

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Others

Mantel test

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