127 skills found · Page 4 of 5
gbroques / DbscanDBSCAN density-based clustering algorithm in Python.
HosseinEyvazi / Moga DBSCANThere is a paper titled “Determining the Parameters of DBSCAN Automatically Using a Multi-Objective Genetic Algorithm”.
Mattral / Feature Based Template Matching With Drawable Canvas And Clusteringfeature-based template matching using the SIFT (Scale-Invariant Feature Transform) algorithm, enhanced with DBSCAN clustering for robust localization.
AsutoshPati / Face Clustering Using DBSCANDemonstrates face clustering using DBSCAN (Density Based Spatial Clustering of Applications with Noise) algorithm.
wrld / PCL DBSCANA program of DBSCAN algorithm based on PCL, using kdtree or octomap for nearest searching.
wentama / AIS Vessel Prediction ModelDBSCAN and Spectral Clustering algorithm for AIS vessel prediction
BIgRunner / DBscanSupPAn improved real-time superpixel segment algorithm ollowing Shen Jinabing's work "Real-Time Superpixel Segmentation by DBSCAN Clustering Algorithm"
Sinamahani / AdaptiveDBSCANThis is a normalized form of DBSCAN alogorithm that is based on varying number of neighbour. This algorithm is useful when your data has different density pattern.
AmirSalmasi / PCA K Means DBSCAN Customer Segmentation Recommendation SystemIn this project, based on the personal and purchase behavior data of store customers, we aim to segment customers into different clusters using clustering algorithms like DBSCAN and K-Means. This segmentation helps the store understand and optimize customer relationships, sales strategies, and marketing campaigns.
weilun-chiu / DbscanAn optimized implementation of the DBSCAN algorithm in C++. The grid-based approach is optimized using parallelism, including OpenMP, C++ Concurrency API, and work-stealing technique. AVX instructions are used to optimize floating-point arithmetic operations. The program achieves a 35.89x runtime improvement with 8 threads.
aliyzd95 / Improved DBSCANDBSCAN improvement so that the algorithm works well with data with different densities
kienmarkdo / Taxi Geolocation Clustering DBSCANA multi-paradigm data clustering application that implements the MapReduce DBSCAN algorithm to cluster the GPS starting locations of 200,000 taxi trip records to identify the best waiting areas for a taxi company’s vehicles.
sebescudie / VL.DBSCANDBSCAN algorithm for VL
softmaxdata / Dbscan GpsA node.js module for clustering GPS coordinates by using DBSCAN algorithms
SnehaVM / Implementation Of DBSCAN Clustering AlgorithmDBSCAN algorithm from scratch in Python -- to cluster text records.
xmen4u / DbscanDBScan unsupervised clustering algorithm in node.js, using streams and sample data of vectors
Adversarian / Torch DbscanA GPU accelerated PyTorch implementation of the DBSCAN clustering algorithm.
Prakadeeswaran05 / Pointcloud Clustering DBSCANFinding out optimal number of clusters in a pointcloud using DBSCAN algorithm
a0165897 / Dbscan Cuda并行计算作业 DBSCAN algorithm with C++ and CUDA
XFastDataLab / NQDBSCANNQDBSCAN is a fast clustering algorithm based on pruning unnecessary distance computations in DBSCAN for high-dimensional data. we propose a novel local neighborhood searching technique, and apply it to improve DBSCAN, named as NQ-DBSCAN, such that a large number of unnecessary distance computations can be effectively reduced. Theoretical analysis and experimental results show that NQ-DBSCAN averagely runs in O(n∗log(n)) with the help of indexing technique, and the best case is O(n) if proper parameters are used, which makes it suitable for many realtime data.
