Explore MATLAB source code curated for "plsa" with clean implementations, documentation, and examples.
Binary face classification code based on bag of visual words model, implementing classification using PLSA and two additional pattern recognition approaches with optimized feature extraction and matching algorithms.
MATLAB algorithm for Probabilistic Latent Semantic Analysis (pLSA) featuring comprehensive test datasets and detailed theoretical explanations. The implementation demonstrates how this probabilistic model uncovers semantic relationships in text data through latent topic modeling, with extendable applications in image analysis.
MATLAB algorithm for pLSA (Probabilistic Latent Semantic Analysis) designed for text analysis and classification, including test datasets and comprehensive algorithm theory explanation. The implementation features enhanced visualization through demo.m, improved performance for large-scale data processing, and additional sample data for better understanding across different application scenarios including image analysis.
Implementation of Probabilistic Latent Semantic Analysis (pLSA) using temperature-controlled Expectation-Maximization for topic modeling and text analysis