Ecosyste.ms: Repos
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GitHub topics: prototype-selection
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: 3 months ago - Pushed: 3 months 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: 5 months ago - Pushed: 5 months ago - Stars: 2 - Forks: 0
fatihaydin1/BIRCH
Border Instances Reduction using Classes Handily (BIRCH)
Language: MATLAB - Size: 18.8 MB - Last synced: 12 months ago - Pushed: over 1 year ago - Stars: 0 - Forks: 0
fatihaydin1/NIS
Unsupervised instance selection via conjectural hyperrectangles
Language: MATLAB - Size: 22.6 MB - Last synced: 3 months ago - Pushed: 3 months 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: about 1 year ago - Pushed: almost 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: over 1 year ago - Pushed: over 3 years ago - Stars: 1 - Forks: 0
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: 1.08 MB - Last synced: 19 days ago - Pushed: 5 months ago - Stars: 3 - 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: over 1 year ago - Pushed: almost 4 years ago - Stars: 1 - Forks: 0