GitHub topics: prototype-selection
sadit/KCenters.jl
A library gathering diverse algorithms for clustering, similarity search, prototype selection, and data encoding based on k-cluster algorithms.
Language: Julia - Size: 1.21 MB - Last synced at: 18 days ago - Pushed at: about 2 months ago - Stars: 3 - Forks: 0
XinyuanWangCS/LatentKMeansPrototypeSelection
This is a course project to select a subset of data to build an efficient nearest neighbor classifier. Choosing a representative subset of "prototypes" from the training set is crucial for accelerating nearest neighbor classifiers. This project proposes projecting the data into a latent space using a pretrained embedder.
Language: Jupyter Notebook - Size: 3.63 MB - Last synced at: about 1 year ago - Pushed at: about 1 year ago - Stars: 2 - Forks: 0
bghojogh/Principal-Sample-Analysis
The code for Principal Sample Analysis (PSA) for prototype selection and instance ranking
Language: Python - Size: 1.64 MB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 2 - Forks: 0
fatihaydin1/BIRCH
Border Instances Reduction using Classes Handily (BIRCH)
Language: MATLAB - Size: 18.8 MB - Last synced at: almost 2 years ago - Pushed at: over 2 years ago - Stars: 0 - Forks: 0
fatihaydin1/NIS
Unsupervised instance selection via conjectural hyperrectangles
Language: MATLAB - Size: 22.6 MB - Last synced at: about 1 year ago - Pushed at: about 1 year ago - Stars: 0 - Forks: 0
Nikoletos-K/WinnER
A Winner-Take-All Hashing-Based Unsupervised Model for Entity Resolution Problems. [B. Sc. Thesis]
Language: Jupyter Notebook - Size: 154 MB - Last synced at: about 2 years ago - Pushed at: over 2 years ago - Stars: 3 - Forks: 0
bghojogh/Prototype-Selection-Matrix-Decomposition
The code for prototype selection and instance ranking using matrix decomposition and subspace learning
Language: Python - Size: 23.4 KB - Last synced at: about 2 years ago - Pushed at: over 4 years ago - Stars: 1 - Forks: 0
bghojogh/Curvature-Anomaly-Detection
The code for Curvature Anomaly Detection (CAD), kernel CAD, inverse CAD (iCAD), and kernel iCAD for anomaly detection and prototype selection. It uses the theory of Polyhedron Curvature or angular defect of polyhedron.
Language: Python - Size: 83 KB - Last synced at: about 2 years ago - Pushed at: almost 5 years ago - Stars: 1 - Forks: 0