Clustering相关论文
Credit data,the data that describes the attributes of customer credit collected by enterprises or institutions,which con......
Clustering is the discovery of latent group structure in data and is a fundamental problem in artificial intelligence,an......
A clustering-based flexible weighting method in AdaBoost and its application to transaction fraud de
AdaBoost is a famous ensemble learning method and has achieved successful applications in many fields.The existing studi......
Data replenishment of five moderate earthquake sequ-ences in Japan,with semi-automatic cluster selec
Missing early aftershocks following relatively large or moderate earthquakes can cause significant bias in the analysis ......
目的:分析间歇性管饲与集束化吞咽功能训练法联用于ICU获得性吞咽障碍的效果.方法:选取2020年2月～7月和2020年8月～2021年1月收治的IC......
With the advent of modem technologies,IoT has become an alluring field of research.Since IoT connects every-thing to the......
This paper establishes a new layered fly-ing ad hoc networks (FANETs) system of mobile edge computing (MEC) supported by......
Flying ad hoc networks are used for many critical tasks.The network formation for routing data becomes difficult because......
Accurate identification of cell types from single-cell RNA sequencing (scRNA-seq) data plays a critical role in a variet......
Node correlation clustering algorithm for wireless multimedia sensor networks based on overlapped Fo
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Reliable and accurate data are needed in each stage of road safety management in order to correctly identify problems an......
Shipping offers flexible access among countries,thus the world is connected through the global shipping network....
This study suggests a novel clustering method using entropy in information theory for setting cut-scores.Based on item r......
With the "Belt and Road" initiative and continuous advancement,Chinas coastal ports have ushered in new opportunities ......
Cluster analysis is an important part of data mining technology.Various types of clustering algorithms have been propose......
A new local density and relative distance based spectrum clustering (LDRDSC) algorithm is proposed to solve multidimensi......
The current steganalysis frameworks involve a large number of techniques for feature extraction and classification.Howev......
Multiscale modeling of material system aims to map microstructure to material property.Complexity created by microstruct......
Nowadays main infrastructure-as-a-service (IaaS) systems have been widely exploiting the template-based VM creation and......
We propose a multi-hop clustering scheme for topology management of wireless sensor networks using a dynamic pre-cluster......
从数据整体和宏观上给出了离群点的新的定义,并基于数据宏观模式定义了一种新的离群因子,该因子考虑了数据点偏离数据模式的程度和......
基于无监督决策树的层次聚类是一种通过建立无监督决策树来聚类的方法,但是该方法对每个数据子集的势以及子集间的距离考虑的不全......
Background: Transcription factor (TF) binding at specific DNA sequences is the fundamental step in transcriptional regul......
In many informational fields,such as biological,environmental,medical,etc.,lots of sets of data are created every day.A ......
Background: This statistical method is proposed to detect genes whose expression in a single or small number of tissues ......
Acid Sphingomyelinase Mediated 50 Hz Magnetic Field Induced-EGF Receptor Clustering in Cultured Cell
Background: Growing evidence indicated that exposure to extremely low frequency electromagnetic fields (ELF MF), especia......
Quantitative Genotoxicity Assessment and Clustering of Disinfection By-products by Using Recombinant
Genotoxicity testing is performed for the detection of DNA damage,or to assay for the formation of a DNA adduct and chro......
Community detection is a central problem of network data analysis.Given a network,the goal of community detection is to ......
Statistical and Computational Guarantees are investigated for the Lloyds algorithm.When there are two clusters,the initi......
In many applications where both predictors and responses are collected across geographical regions over time,the impacts......
We consider a two-class clustering problem,where we observe a large number of features but only a small fraction of them......
基于三维荧光光谱法,以含有不同类型润滑油、机油、柴油、汽油的土壤样品为研究对象,分别提取不同土壤样品的三维荧光光谱,然后计......
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Clustering of Risk Behaviors and their Social Determinants among Primary School Learners in Beijing,
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Background dominant colors extraction method based on color image quick fuzzy c-means clustering alg
A quick and accurate extraction of dominant colors of background images is the basis of adaptive camouflage design.This ......
User profiles are widely used in the age of big data.However,generating and releasing user profiles may cause se-rious p......
Driven by a wide range of real-world applications,significant efforts have recently been made to explore facile vibratio......
In this paper, we propose an image denoising method combining the priors of non-local self similarity(NSS), low rank and......
Recently, the COVID-19 emerged in China and propagated around all the world has threatened millions of people and affect......
Embedding-based Detection and Extraction of Research Topics from Academic Documents Using Deep Clust
Purpose:Detection of research fields or topics and understanding the dynamics help the scientific community in their dec......
The exploration of fracture internal fixation materials has been one of the research hotspots in the field of biomedical......
<span style=“font-family:Verdana;”>Detecting and segmenting the lung regions in chest X-ray images is an important par......
道岔是铁路上重要的信号基础设备之一,其故障将直接影响行车安全和效率。本文从分析道岔的功率曲线入手,首先提取其时域及哈尔(Haa......
Background: Recent sequencing revolution driven by high-throughput technologies has led to rapid accumulation of 16S......
BioloMICS Software was first created in 1990 and went through a number of successive improvements and versions.The Biolo......
In recent years,online public opinion is developing in a rapid speed.However,the corresponding social network media ......
A new improved ant colony cedebook design scheme is proposed by adopting frequency sensitivity measure in original basic......
