shihai1991 / kernel-density-peaks
We develop the clustering approach by fast-search-and-find of density peaks which use the kernel function for mapping the input sample objects to the high dimensional feature space and amplifying the original sample objects’ characteristics, thereby researching the local density of the object attribute based on similarity measure. In order to id…
☆17Updated 9 years ago
Alternatives and similar repositories for kernel-density-peaks:
Users that are interested in kernel-density-peaks are comparing it to the libraries listed below
- Wang Y, Wang D, Zhang X, et al. McDPC: multi-center density peak clustering[J]. Neural Computing and Applications,2020, 1-14.☆28Updated 4 years ago
- Dynamic Graph-Based Label Propagation for Density Peaks Clustering☆43Updated 2 years ago
- Clustering algorithms by fast search and find of density peaks☆18Updated 6 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
- Density Peaks Clustering Based on Density Backbone and Fuzzy Neighborhood☆30Updated 4 years ago
- Clustering by fast search and find of density peaks☆24Updated 10 years ago
- MDPC+：Clustering by fast detection of main density peaks within a peak digraph☆10Updated 2 years ago
- Comparison among K-Means, DBSCAN and Density Peak☆24Updated 6 years ago
- Several state-of-the-art fuzzy clustering algorithms, including Fuzzy c-means clustering, fuzzy subspace clustering and maximum entropy c…☆26Updated 4 years ago
- Sparce Subspace Clustering (SSC) is a subspace clustering algorithm that uses sparse vector representation, convex optimization, and spec…☆44Updated 8 years ago
- Demo of using aNNE similarity for DBSCAN.☆12Updated 3 years ago
- code of DPC-CE （Density Peak Clustering with Connectivity Estimation ，Knowledge-Based Systems, 2022）☆22Updated 3 years ago
- Fast hierarchical clustering of local density peaks via an association degree transfer method☆11Updated 2 years ago
- The codes的K-means，FCM，谱聚类，DBSCAN，AP（AffinityPropagation），DPC聚类算法比较☆154Updated 7 years ago
- Spike sorting implemented with principal component analysis (PCA) and density-based spatial clustering of applications with noise (DBSCAN…☆12Updated 6 years ago
- Y. Wang, D. Wang(#), Y. Zhou, X. Zhang, C. Quek, VDPC: Variational Density Peak Clustering Algorithm[J]. Information Sciences, 621, 2022:…☆13Updated 2 years ago
- Shared Nearest Neighbor-based Clustering by Fast Search and Find of Density Peaks☆54Updated 4 years ago
- An Internal Validity Index Based on Density-Involved Distance (2019).☆16Updated 2 months ago
- ☆22Updated 8 years ago
- NonNegative Matrix Factorization with Low Rank via the Alternating Direction Method of Multipliers☆9Updated 7 years ago
- Removal of information from co-association matrix for clustering ensemble☆17Updated 5 years ago
- The matlab code for the paper 'GoDec+: Fast and Robust Low-Rank Matrix Decomposition Based on Maximum Correntropy'☆15Updated 7 years ago
- Matlab code of the paper "Simple Strategies for Semi-Supervised Feature Selection", published in Machine Learning Journal☆27Updated 7 years ago
- Implementation for the paper "K-Multiple-Means: A Multiple-Means Clustering Method with Specified K Clusters,", which has been accepted b…☆83Updated 4 years ago
- Fast variant of Density Peaks clustering☆16Updated last year
- Intrusion Detection is a technique to identify the abnormal behavior of system due to attack. The unusual behavior of the environment is …☆27Updated 7 years ago
- Implementation of the original DBSCAN algorithm☆16Updated 9 years ago
- Matlab/Octave toolbox for nonconvex optimization☆50Updated 8 years ago
- Fast LDP-MST: an efficient density-based clustering method for large-size datasets (Teng Qiu, Yongjie Li, IEEE Transactions on Knowledge …☆12Updated last year
- Spectral Clustering for Complex Graphs☆39Updated 10 years ago