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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 ...
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...
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...