This paper presents a robust parallel Delaunay triangulation algorithm called ParaStream for processing billions of points from nonoverlapped block LiDAR files. The algorithm targets ubiquitous multicore archit
DeepFace is a lightweight face recognition and facial attribute analysis (age, gender, emotion and race) framework for python. It is a hybrid face recognition framework wrapping state-of-the-art models: VGG-Face, FaceNet, OpenFace, DeepFace, DeepID, ArcFace, Dlib, SFace, GhostFaceNet, Buffalo...
CAEN - A Hierarchically Attentive Evolution Network for Item-Attribute-Change-Aware Recommendation in the Growing E-commerce Environment Deep Group Interest Network on Full Lifelong User Behaviors for CTR Prediction Decision-Making Context Interaction Network for Click-Through Rate Prediction Dual Graph enha...
G6 incorporates various graph analysis algorithms (R5), containing classical graph-theoretic algorithms (e.g., depth-first search, minimum spanning tree, the shortest path algorithm) and some advanced algorithms (e.g., label propagation, Louvain clustering, graph pattern matching algorithm). ...
Strimmer: For our Striimmer data pipeline, we’ll leverageStriim, a unified real-time data integration and streaming platform, to ingest both batch and real-time data from the various data sources. Step 4: Design the data processing plan ...
with smaller size based on the nearest neighbor graph, and then the clusters with small size are merged into a cluster with bigger size, based on agglomerative algorithm, until satisfied. For more information about this kind of clustering algorithms, you can refer to [21,22]....
This paper focuses on the graph recommendation of geographic visualization. We assume that the major feature of geographic information data is the distribution characteristics of data and design an automatic visualization recommendation system. Specifically, an adaptive kernel density estimation algorithm based...
Amini A, Saboohi H, Herawan T, Wah TY. MuDi-Stream: a multi density clustering algorithm for evolving data stream. J Netw Comput Appl. 2016;59:370–85.. . Bezerra CG, Costa BSJ, Guedes LA, Angelov PP. An evolving approach to data streams clustering based on typicality and eccentricity...
In addition, there are semi-supervised, spectral clustering, graph clustering and other clustering methods. 4. Multi-Clustering Algorithm In this section, we will introduce in detail the structure and actual implementation steps of the multi-clustering algorithm proposed by us, explain the advantages ...
igraph - General purpose graph library. Intel® oneAPI Data Analytics Library - A high performance software library developed by Intel and optimized for Intel's architectures. Library provides algorithmic building blocks for all stages of data analytics and allows to process data in batch, online ...