Performance Evaluation of t-SNE and MDS Dimensionality Reduction Techniques with KNN, ENN and SVM Classifiers

no code implementations • 20 Jun 2020 • Shadman Sakib, Md. Abu Bakr Siddique, Md. Abdur Rahman

The central goal of this paper is to establish two commonly available dimensionality reduction (DR) methods i. e. t-distributed Stochastic Neighbor Embedding (t-SNE) and Multidimensional Scaling (MDS) in Matlab and to observe their application in several datasets.

Classification Dimensionality Reduction +1

Performance Analysis of Deep Autoencoder and NCA Dimensionality Reduction Techniques with KNN, ENN and SVM Classifiers

no code implementations • 11 Dec 2019 • Md. Abu Bakr Siddique, Shadman Sakib, Md. Abdur Rahman

The central aim of this paper is to implement Deep Autoencoder and Neighborhood Components Analysis (NCA) dimensionality reduction methods in Matlab and to observe the application of these algorithms on nine unlike datasets from UCI machine learning repository.

Classification Dimensionality Reduction +1