搜索结果: 1-13 共查到“Clustering-Based”相关记录13条 . 查询时间(0.046 秒)
Hashtags are creative labels used in micro-blogs to characterize the topic of a message/discussion.
Regardless of the use for which they were originally intended, hashtags cannot be used as a means
...
Cloud Model and Hierarchical Clustering based Spatial Data Mining Method and Application
Cloud Model Hierarchical Clustering Data Mining Weather Classification
2015/12/2
The paper proposed a method of weather classification based on cloud model and hierarchical clustering. Firstly, according to the weather sampling data from FY-2C images, cluster the brightness values...
Knowledge Discovery by Spatial Clustering Based on Self-Organizing Feature Map and a Composite Distance Measure
Self-Organizing Feature Map Spatial Clustering Knowledge Discovery Data Mining
2015/12/2
This paper proposes a spatial clustering model based on self-organizing feature map and a composite distance measure, and studies the knowledge discovery from spatial database of spatial objects with ...
A Support Vector Clustering Based Approach for Spatiotemporal Analysis in Security Informatics
Spatiotemporal clustering kernel methods modeling spatiotemporal helix
2015/12/1
Security informatics involves the application of information technology to protect public health and security. A common research topic in security informatics is the identification and representation ...
Spectral Chinese Restaurant Processes:Nonparametric Clustering Based on Similarities
Spectral Chinese Restaurant Nonparametric Clustering Similarities
2015/6/12
We introduce a new nonparametric clustering model which combines the recently proposed distance-dependent Chinese restaurant process (dd-CRP) and non-linear, spectral methods for dimensionality reduct...
Building Roof Component Extraction from Panchromatic Satellite Images Using a Clustering-Based Method
Pan-chromatic image DSM Roof Type Detection Mask Refinement Clustering
2014/9/9
Developing fully automatic systems is still an active research topic in 3D building model reconstruction. While a general solution to the building reconstruction problem relies on collecting and group...
Spectral clustering based on local linear approximations
Spectral Clustering Higher-Order Affinities Local Linear Approximation Local PolynomialApproximation
2010/3/9
In the context of clustering, we assume a generative model where each cluster is the result
of sampling points in the neighborhood of an embedded smooth surface, possibly contaminated
with outliers....
Improved Criteria for Clustering Based on the Posterior Similarity Matrix
adjusted Rand index cluster analysis Dirichlet process mixture model Markov chain Monte Carlo
2009/9/24
In this paper we address the problem of obtaining a single clustering estimate c based on an MCMC sample of clusterings c(1), c(2) . . . , c(M) from the posterior distribution of a Bayesi...
Clustering-Based Linear Least Square Fitting Method for Generation of Parametric Images in Dynamic FDG PET Studies
Parametric Images Dynamic FDG PET Studies
2009/9/7
Parametric images generated from dynamic positron emission tomography (PET) studies are useful for presenting functional/biological information in the 3-dimensional space, but usually suffer from thei...
Random Clustering Based on the Conditional Inverse Gaussian-Poisson Distribution
disclosure risk frequencies of frequencies size index species abundance superpopulation
2009/3/10
The present article describes a Conditional Inverse Gaussian-Poisson (CIGP) distribution, obtained by conditioning an inverse Gaussian-Poisson population model on its total frequency. This CIGP distri...
Clustering-Based Cascade SVM Assemble fro Adaptive Relevance Feedback Learning
Clustering-Based SVM Adaptive Relevance Feedback Learning
2010/12/17
This paper presents a subspace SVM ensemble algorithm for adaptive relevance feedback (RF) learning. Our method deals with the case that user’s relevance feedback examples are usually insufficient and...
CLUSTERING-BASED SUBSPACE SVM ENSEMBLE FOR RELEVANCE FEEDBACK LEARNING
image retrieval relevance feedback data clustering classifier sampling SVM classifier ensemble
2013/7/17
This paper presents a subspace SVM ensemble algorithm for adaptive relevance feedback (RF) learning. Our method deals with the case that user’s relevance feedback examples are usually insufficient and...
AbstractIn Mobile Ad Hoc Networks (MANET), network partitioning can cause sudden and severe disruptions to ongoing data accesses, and consequently data availability is decreased. A new distributed clu...