Browsing Academic by Subject "Clustering algorithms"
Now showing items 1-14 of 14
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3D Quantum Cuts for automatic segmentation of porous media in tomography images
( Elsevier Ltd , 2022 , Article)Binary segmentation of volumetric images of porous media is a crucial step towards gaining a deeper understanding of the factors governing biogeochemical processes at minute scales. Contemporary work primarily revolves ... -
A novel Conceptual Machine Learning Method using Random Conceptual Decomposition
( Institute of Electrical and Electronics Engineers Inc. , 2020 , Conference Paper)Formal Concept Analysis (FCA) is emerging in Data Science because of its generality, simplicity, and powerful mathematical foundation. It enabled a uniform data clustering methods into structured space of formal concepts. ... -
A survey of clustering algorithms for big data: Taxonomy and empirical analysis
( IEEE Computer Society , 2014 , Article)Clustering algorithms have emerged as an alternative powerful meta-learning tool to accurately analyze the massive volume of data generated by modern applications. In particular, their main goal is to categorize data into ... -
Automatic Concept Extraction Based on Semantic Graphs From Big Data in Smart City
( Institute of Electrical and Electronics Engineers Inc. , 2019 , Article)With the rapid development of smart cities, various types of sensors can rapidly collect a large amount of data, and it becomes increasingly important to discover effective knowledge and process information from massive ... -
Cluster validity index based on n-sphere
( IEEE , 2014 , Conference Paper)In this paper, we propose a new cluster validity index (CVI) based on geometrical shape. Classic CVIs are based on a combination of separation and compactness measures and may include a measure of overlap between clusters. ... -
Distributed CNN Inference on Resource-Constrained UAVs for Surveillance Systems: Design and Optimization
( Institute of Electrical and Electronics Engineers Inc. , 2022 , Article)Unmanned aerial vehicles (UAVs) have attracted great interest in the last few years owing to their ability to cover large areas and access difficult and hazardous target zones, which is not the case of traditional systems ... -
Iterative per Group Feature Selection for Intrusion Detection
( Institute of Electrical and Electronics Engineers Inc. , 2020 , Conference Paper)Network security is an critical subject in any distributed network. Recently, machine learning has proven their efficiency for intrusion detection. By using a comprehensive dataset with multiple attack types, a well-trained ... -
K-Subspaces Quantization for Approximate Nearest Neighbor Search
( IEEE Computer Society , 2016 , Article)Approximate Nearest Neighbor (ANN) search has become a popular approach for performing fast and efficient retrieval on very large-scale datasets in recent years, as the size and dimension of data grow continuously. In this ... -
Motion-Aware Graph Regularized RPCA for background modeling of complex scenes
( Institute of Electrical and Electronics Engineers Inc. , 2016 , Conference Paper)Computing a background model from a given sequence of video frames is a prerequisite for many computer vision applications. Recently, this problem has been posed as learning a low-dimensional subspace from high dimensional ... -
On target coverage in mobile visual sensor networks
( Association for Computing Machinery, Inc , 2014 , Conference Paper)Recent advancements in manufacturing low-cost wireless battery operated cameras has made their application in Wireless Video Sensor Networks (WVSN) increasingly more feasible and affordable. The application of robotic ... -
Particle swarm clustering fitness evaluation with computational centroids
( Elsevier B.V. , 2017 , Article)In this paper, we propose a new way to carry out fitness evaluation in dynamic Particle Swarm Clustering (PSC) with centroid-based encoding. Generally, the PSC fitness function is selected among the clustering validity ... -
Subspace based network community detection using sparse linear coding
( Institute of Electrical and Electronics Engineers Inc. , 2016 , Conference Paper)Information mining from networks by identifying communities is an important problem across a number of research fields including social science, biology, physics, and medicine. Most existing community detection algorithms ... -
TIDCS: A Dynamic Intrusion Detection and Classification System Based Feature Selection
( Institute of Electrical and Electronics Engineers Inc. , 2020 , Article)Machine learning techniques are becoming mainstream in intrusion detection systems as they allow real-time response and have the ability to learn and adapt. By using a comprehensive dataset with multiple attack types, a ... -
Training Radial Basis Function Neural Networks for Classification via Class-Specific Clustering
( Institute of Electrical and Electronics Engineers Inc. , 2016 , Article)In training radial basis function neural networks (RBFNNs), the locations of Gaussian neurons are commonly determined by clustering. Training inputs can be clustered on a fully unsupervised manner (input clustering), or ...
