Improvement on PDP Evaluation Performance Based on Neural Networks and SGDK-means Algorithm
Sign Up to like & getrecommendations! Published in 2021 at "Soft Computing"
DOI: 10.1007/s00500-021-06447-0
Abstract: With the purpose of improving the PDP (policy decision point) evaluation performance, a novel and efficient evaluation engine, namely XDNNEngine, based on neural networks and an SGDK-means (stochastic gradient descent K-means) algorithm is proposed. We… read more here.
Keywords: neural networks; means algorithm; sgdk means; evaluation performance ... See more keywords
The spherical k-means++ algorithm via local search scheme
Sign Up to like & getrecommendations! Published in 2021 at "Journal of Combinatorial Optimization"
DOI: 10.1007/s10878-021-00737-x
Abstract: The spherical k-means problem (SKMP) is an important variant of the k-means clustering problem (KMP). In this paper, we consider the SKMP, which aims to divide the n points in a given data point set… read more here.
Keywords: local search; algorithm via; means algorithm; spherical means ... See more keywords
Image denoising by linear regression on non-local means algorithm
Sign Up to like & getrecommendations! Published in 2024 at "Signal, Image and Video Processing"
DOI: 10.1007/s11760-024-03086-4
Abstract: Non-local means (NL-Means) algorithm which removes the noise from the image have been used in the field widely due to its good performance especially for magnetic resonance images which consists of three dimensional data. Its… read more here.
Keywords: local means; non local; image; linear regression ... See more keywords
Automatic shape design of double-arch dams using k-means algorithm
Sign Up to like & getrecommendations! Published in 2025 at "Arabian Journal of Geosciences"
DOI: 10.1007/s12517-025-12230-4
Abstract: Dams are super-structures widely used in water conservancy engineering fields for several uses. Their long-term safety is a focus of social concern, and it is strictly correlated to the design layout. In this paper, parameters’… read more here.
Keywords: arch dams; double arch; design; using means ... See more keywords
Dominant gray level based K-means algorithm for MRI images
Sign Up to like & getrecommendations! Published in 2019 at "Health and Technology"
DOI: 10.1007/s12553-018-00293-1
Abstract: Image segmentation is the significant tasks in maximum medical diagnosis tools. In recent years, perfect segmentation of medical images is of the great challenging issue. Maximum investigation in most of the areas exhibit that numerous… read more here.
Keywords: level based; gray level; dominant gray; means algorithm ... See more keywords
Improved fuzzy C-means algorithm based on density peak
Sign Up to like & getrecommendations! Published in 2020 at "International Journal of Machine Learning and Cybernetics"
DOI: 10.1007/s13042-019-00993-8
Abstract: Fuzzy C-means (FCM) algorithm is a fuzzy clustering algorithm based on objective function compared with typical “hard clustering” such as k-means algorithm. FCM algorithm calculates the membership degree of each sample to all classes and… read more here.
Keywords: fuzzy means; density; algorithm based; algorithm ... See more keywords
RFM model for customer purchase behavior using K-Means algorithm
Sign Up to like & getrecommendations! Published in 2019 at "Journal of King Saud University - Computer and Information Sciences"
DOI: 10.1016/j.jksuci.2019.12.011
Abstract: Abstract The objective of this study is to apply business intelligence in identifying potential customers by providing relevant and timely data to business entities in the Retail Industry. The data furnished is based on systematic… read more here.
Keywords: using means; rfm model; means algorithm; customer ... See more keywords
DACE: a scalable DP‐means algorithm for clustering extremely large sequence data
Sign Up to like & getrecommendations! Published in 2017 at "Bioinformatics"
DOI: 10.1093/bioinformatics/btw722
Abstract: Motivation: Advancements in next‐generation sequencing technology have produced large amounts of reads at low cost in a short time. In metagenomics, 16S and 18S rRNA gene have been widely used as marker genes to profile… read more here.
Keywords: dace; algorithm clustering; sequencing data; means algorithm ... See more keywords
User Power Interaction Behavior Clustering Analysis That is Based on the Self-Organizing-Center K-Means Algorithm
Sign Up to like & getrecommendations! Published in 2019 at "IEEE Access"
DOI: 10.1109/access.2019.2957922
Abstract: The participation of power users in grid-side interactive power and auxiliary services has attracted increasing attention. The analysis of users’ interaction power behaviors is a core task. By combining the self-organizing map (SOM) neural network… read more here.
Keywords: power; organizing center; means algorithm; self organizing ... See more keywords
Ping Flood Attack Pattern Recognition Using a K-Means Algorithm in an Internet of Things (IoT) Network
Sign Up to like & getrecommendations! Published in 2021 at "IEEE Access"
DOI: 10.1109/access.2021.3105517
Abstract: Security is the main challenge in Internet of Things (IoT) systems. The devices on the IoT networks are very heterogeneous, many of them have limited resources, and they are connected globally, which makes the IoT… read more here.
Keywords: attack; traffic; means algorithm; things iot ... See more keywords
Kmeans-CM Algorithm With Spectral Angle Mapper for Hyperspectral Image Classification
Sign Up to like & getrecommendations! Published in 2023 at "IEEE Access"
DOI: 10.1109/access.2023.3257859
Abstract: Hyperspectral images possess the characteristics of high dimensionality, which causes “dimensional disaster” and low classification accuracy. In order to solve the problems, based on traditional k-means algorithm, considering the importance of different bands for classification,… read more here.
Keywords: spectral angle; classification; class; inter class ... See more keywords