SankhaSubhra / Ada-kNNLinks
A MATLAB implementation of Adaptive k-Nearest Neighbor Algorithms called Ada-kNN and Ada-kNN2 (alongside a global weighting scheme for handling class imbalance).
☆16Updated 7 years ago
Alternatives and similar repositories for Ada-kNN
Users that are interested in Ada-kNN are comparing it to the libraries listed below
Sorting:
- ☆10Updated 5 years ago
- NonNegative Matrix Factorization with Low Rank via the Alternating Direction Method of Multipliers☆9Updated 7 years ago
- Sparce Subspace Clustering (SSC) is a subspace clustering algorithm that uses sparse vector representation, convex optimization, and spec…☆44Updated 8 years ago
- A MATLAB Toolbox for High-order Tensor Data Decompositions and Analysis☆20Updated 7 years ago
- MATLAB codes for several tensor based methods for hypergraph partitioning and subspace clustering☆13Updated 6 years ago
- 目前多流形学习算法matlab代码☆13Updated 6 years ago
- Implementation of "Deep Fuzzy K-Means with Adaptive Loss and Entropy Regularization", IEEE Transactions on Fuzzy Systems.☆34Updated 3 years ago
- MATLAB MEX implementation of SVRG-SBB algorithms☆12Updated 7 years ago
- This packaged is an implementation of our paper "Robust Denoising of Piece-Wise Smooth Manifolds", ICASSP 2018 The algorithm creates an …☆15Updated 6 years ago
- Inexact Block Coordinate Descent Methods For Symmetric Nonnegative Matrix Factorization☆13Updated 8 years ago
- This provides an MATLAB code implementation for the paper "Low-rank and Sparse Matrix Decomposition via the Truncated Nuclear Norm and a …☆30Updated 7 years ago
- We develop the clustering approach by fast-search-and-find of density peaks which use the kernel function for mapping the input sample ob…☆17Updated 9 years ago
- Deep network embedding for graph representation learning in signed networks☆14Updated 4 years ago
- Spike sorting implemented with principal component analysis (PCA) and density-based spatial clustering of applications with noise (DBSCAN…☆12Updated 6 years ago
- AG2E: A novel adaptive graph based multi-label learning framework for multi-label annotation, image retrieval, and other applications.☆21Updated 5 years ago
- Matlab implementation of a Generative Adversarial Network☆24Updated 7 years ago
- MATLAB library of gradient descent algorithms for sparse modeling: Version 1.0.3☆55Updated 6 years ago
- 宽度学习 Broad Learning System MATLAB 代码 / 寬度學習Broad Learning System MATLAB代碼(1):MNIST實踐☆15Updated 6 years ago
- ☆13Updated 5 years ago
- Fast Low-Rank Matrix Learning with Nonconvex Regularization. Matlab Code☆22Updated 6 years ago
- Multi-Task Least-Squares Support Vector Machines☆8Updated 8 years ago
- Signal Processing on non-euclidien domain signals☆29Updated 6 years ago
- Scripts for the paper: 2DPCA with L1-norm for simultaneously robust and sparse modelling.☆17Updated 5 years ago
- k-means,DB-SCAN,基于密度峰值的聚类算法的matlab简单实践。☆10Updated 6 years ago
- Bagging, boosting and random forests in Matlab☆25Updated 10 years ago
- Sparse simplex projection-based Wasserstein k-means☆10Updated 4 years ago
- Source codes for paper "Hierarchical hyper-Laplacian prior for weak fault feature enhancement"☆9Updated 5 years ago
- Several state-of-the-art fuzzy clustering algorithms, including Fuzzy c-means clustering, fuzzy subspace clustering and maximum entropy c…☆32Updated 4 years ago
- iADMM for a low-rank representation optimization problem☆12Updated 4 years ago
- Matlab/Octave toolbox for nonconvex optimization☆50Updated 9 years ago