CHLWR / KDD2019_K-Multiple-Means
Implementation for the paper "K-Multiple-Means: A Multiple-Means Clustering Method with Specified K Clusters,", which has been accepted by KDD'2019 as an ORAL paper, in the Research Track.
☆83Updated 3 years ago
Alternatives and similar repositories for KDD2019_K-Multiple-Means:
Users that are interested in KDD2019_K-Multiple-Means are comparing it to the libraries listed below
- Sparce Subspace Clustering (SSC) is a subspace clustering algorithm that uses sparse vector representation, convex optimization, and spec…☆42Updated 8 years ago
- Matlab implementation of multi-view low-rank sparse subspace clustering☆55Updated 4 years ago
- Demo of using aNNE similarity for DBSCAN.☆13Updated 3 years ago
- ☆12Updated 5 years ago
- Matlab implementation of L0 motivated low-rank sparse subspace clustering☆8Updated 5 years ago
- Several state-of-the-art fuzzy clustering algorithms, including Fuzzy c-means clustering, fuzzy subspace clustering and maximum entropy c…☆25Updated 4 years ago
- Implementation of "Deep Fuzzy K-Means with Adaptive Loss and Entropy Regularization", IEEE Transactions on Fuzzy Systems.☆34Updated 3 years ago
- Scalable Semi-Supervised Learning by Efficient Anchor Graph Regularization☆13Updated 6 years ago
- Dynamic Graph-Based Label Propagation for Density Peaks Clustering☆41Updated 2 years ago
- In this repository, I will implement some machine learning algorithms in Python, and show how to use it in a notebook. I feel it interest…☆44Updated 5 years ago
- Clustering by fast search and find of density peaks☆24Updated 10 years ago
- Spectral Clustering for Complex Graphs☆39Updated 10 years ago
- Python implementation of Sparse Subspace Clustering algorithm.☆79Updated 6 years ago
- Comparison among K-Means, DBSCAN and Density Peak☆24Updated 5 years ago
- A MATLAB toolbox for classifier: Version 1.0.7☆85Updated 2 years ago
- mainly aimed at scalable subspace clustering☆10Updated 7 years ago
- Clustering / Subspace Clustering Algorithms on MATLAB☆226Updated 4 years ago
- Matlab code of the paper "Simple Strategies for Semi-Supervised Feature Selection", published in Machine Learning Journal☆27Updated 6 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 8 years ago
- Clustering algorithms by fast search and find of density peaks☆18Updated 5 years ago
- Weighted Sparse Representation based Classification for Face Recognition☆8Updated 6 years ago
- Removal of information from co-association matrix for clustering ensemble☆17Updated 5 years ago
- Discriminative Feature Selection via A Structured Sparse Subspace Learning Module☆12Updated 2 years ago
- We implemented the algorithm from paper"Study on density peaks clustering based on k-nearest neighbors and principal component analysis"☆28Updated 5 years ago
- Subspace Clustering Library☆51Updated 8 years ago
- Shared Nearest Neighbor-based Clustering by Fast Search and Find of Density Peaks☆53Updated 4 years ago
- ☆22Updated 8 years ago
- Sparse simplex projection-based Wasserstein k-means☆10Updated 3 years ago
- Iteratively Reweighted Nuclear Norm for Nonconvex Nonsmooth Low-rank Minimization☆24Updated 3 years ago
- ☆18Updated 8 years ago