MLLN

Machine Learning Leaf Node

An optimal start node for beginning your machine learning journey

📁 algorithms

• ↖️ KMeans
• ↖️ K-Nearest Neighbors(KNN)
• ↖️ Linear Discriminant Analysis(LDA)
• ↖️ Logistic Regression
• ↖️ Naïve Bayes
• ↖️ Principal Component Analysis(PCA)
• ↖️ StochasticGradientDescent(SGD)
• ↖️ Perceptron
• ↖️ Regression

📁 applications

• ↖️ Parkinson's Disease classification 📊data - 📄article
• ↖️ Face Reconstruction with PCA

🆕 🔥 SMLFDL - 📄article

_{SVMs multi-class loss feedback based discriminative dictionary learning for image classification}

SMLFDL integrates dictionary learning and support vector machines training into a unified learning framework by looping the designed multi-class loss term, which is inspired by the feedback mechanism in cybernetics.

analysis has been done on scene-15 dataset.
Feature vectors has been prepared by four-level spatial pyramid, dense DAISY feature description followed by PCA.
As article proposed SMLFDL are faster in predictions and converge in lower epochs.
_{code for features will be added soon.}