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Methods/LDA

LDA

Linear Discriminant Analysis

GeneralIntroduced 2000459 papers

Description

Linear discriminant analysis (LDA), normal discriminant analysis (NDA), or discriminant function analysis is a generalization of Fisher's linear discriminant, a method used in statistics, pattern recognition, and machine learning to find a linear combination of features that characterizes or separates two or more classes of objects or events. The resulting combination may be used as a linear classifier, or, more commonly, for dimensionality reduction before later classification.

Extracted from Wikipedia

Source:

Paper: Linear Discriminant Analysis: A Detailed Tutorial

Public version: Linear Discriminant Analysis: A Detailed Tutorial

Papers Using This Method

LLM-Powered CPI Prediction Inference with Online Text Time Series2025-06-11Linear Discriminant Analysis with Gradient Optimization on Covariance Inverse2025-06-07Selecting for Less Discriminatory Algorithms: A Relational Search Framework for Navigating Fairness-Accuracy Trade-offs in Practice2025-06-02Tell, Don't Show: Leveraging Language Models' Abstractive Retellings to Model Literary Themes2025-05-29Improving statistical learning methods via features selection without replacement sampling and random projection2025-05-28EC-LDA : Label Distribution Inference Attack against Federated Graph Learning with Embedding Compression2025-05-21Technical Report on classification of literature related to children speech disorder2025-05-20Signals from the Floods: AI-Driven Disaster Analysis through Multi-Source Data Fusion2025-05-10Enhancing the Cloud Security through Topic Modelling2025-05-01Subject-independent Classification of Meditative State from the Resting State using EEG2025-04-25Automated Bug Report Prioritization in Large Open-Source Projects2025-04-22Evaluating BERTopic on Open-Ended Data: A Case Study with Belgian Dutch Daily Narratives2025-04-20Masculine Defaults via Gendered Discourse in Podcasts and Large Language Models2025-04-15Non-Destructive Carotenoid Quantification in Leaves via Raman Spectroscopy: Optimizing Treatment for Linear Discriminant Analysis2025-04-14Topic mining based on fine-tuning Sentence-BERT and LDA2025-04-07Multivariate Gaussian Topic Modelling: A novel approach to discover topics with greater semantic coherence2025-03-19A Convex formulation for linear discriminant analysis2025-03-17ML-Driven Approaches to Combat Medicare Fraud: Advances in Class Imbalance Solutions, Feature Engineering, Adaptive Learning, and Business Impact2025-02-21Topic Modeling in Marathi2025-02-04Exploring Aviation Incident Narratives Using Topic Modeling and Clustering Techniques2025-01-14