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
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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
Dominant gray level based K-means algorithm for MRI images
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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
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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
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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
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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
Distributed $k$ -Means Algorithm and Fuzzy $c$ -Means Algorithm for Sensor Networks Based on Multiagent Consensus Theory
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DOI: 10.1109/tcyb.2016.2526683
Abstract: This paper is concerned with developing a distributed ${k}$ -means algorithm and a distributed fuzzy ${c}$ -means algorithm for wireless sensor networks (WSNs) where each node is equipped with sensors. The underlying topology of the… read more here.
Keywords: tex math; means algorithm; inline formula;
High-frequency small angle measurement using a dynamic autocollimator based on an improved k-means algorithm
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DOI: 10.1117/1.oe.57.6.064109
Abstract: Abstract. An improved k-means algorithm is proposed to enhance the stability and dynamic measurement accuracy of high-frequency small angle measurement using a dynamic autocollimator. The improved algorithm incorporating an optimized initialization scheme is used to… read more here.
Keywords: angle; improved means; means algorithm; frequency ... See more keywords