- K-medoid-style Clustering Algorithms for Supervised Summary Generation Nidal Zeidat
- A Framework for Regional Association Rule Mining in Spatial Datasets Wei Ding, Christoph F. Eick, Jing Wang
- Geoinformatica manuscript No. (will be inserted by the editor)
- Correspondence Clustering: An Approach to Cluster Multiple Related Spatial Datasets
- On Regional Association Rule Scoping , Christoph F. Eick1
- Mining Spatial Trajectories using Non-Parametric Density Functions
- Design and Evaluation of a Parallel Execution Framework for the CLEVER
- Online Learning of Spacecraft Simulation Models Justin Thomas
- Change Analysis in Spatial Data by Combining Contouring Algorithms with Supervised Density
- COUGAR^2: AN OPEN SOURCE MACHINE LEARNING AND DATA MINING
- A Two-Expert Approach to File Access Prediction Wenjing Chen Christoph F. Eick Jehan-Franois Pris1
- A Polygon-based Methodology for Mining Related Spatial Datasets
- Class Decomposition Via Clustering: A New Framework For Low-Variance Classifiers
- Analyzing Change in Spatial Data by Utilizing Polygon Vadeerat Rinsurongkawong1
- MOSAIC: A Proximity Graph Approach for Agglomerative Clustering1
- Petra Perner, Institute of Computer Vision and Applied Computer Sciences IBaI, Leipzig, Germany (Ed.)
- MOSAIC: Agglomerative Clustering with Gabriel Graphs
- Geoinformatica manuscript No. (will be inserted by the editor)
- Using Representative-Based Clustering for Nearest Neighbor Dataset Editing Christoph F. Eick
- Towards Region Discovery in Spatial Datasets , Rachsuda Jiamthapthaksin1
- Discovery of Interesting Regions in Spatial Data Sets Using Supervised Clustering
- Abstract--This paper addresses two main challenges for clustering which require extensive human effort: selecting
- Finding Regional Co-location Patterns for Sets of Continuous Variables in Spatial Datasets
- GeoInformatica An International Journal on
- Piece-Wise Model Fitting Using Local Data Patterns Ricardo Vilalta and Muralikrishna Achari and Christoph Eick 1
- A Framework for Spatial Feature Selection and Scoping and its Application to Geo-Targeting
- GAC-GEO: A Generic Agglomerative Clustering Framework for Geo-referenced
- Regional Pattern Discovery in Geo-Referenced Datasets Oner Ulvi Celepcikay1
- A Framework for Multi-objective Clustering and its Application to Co-location Mining
- ON SUPERVISED DENSITY ESTIMATION TECHNIQUES AND THEIR APPLICATION TO
- A Unifying Framework for Clustering with Plug-In
- Supervised Clustering: Algorithms and Application Nidal Zeidat, Christoph F. Eick, and Zhenghong Zhao
- A HYBRID CLUSTERING TECHNIQUE THAT COMBINES REPRESENTATIVE-BASED AND
- Content-Based Image Retrieval Through a Multi-Agent Meta-Learning Abraham Bagherjeiran, Ricardo Vilalta, Christoph F. Eick
- Supervised Clustering Algorithms and Benefits Christoph F. Eick, Nidal Zeidat, and Zhenghong Zhao
- This article appeared in a journal published by Elsevier. The attached copy is furnished to the author for internal non-commercial research
- REG^2: A Regional Regression Framework for Geo-Referenced Datasets
- Discovering Controlling Factors of Geospatial Variables Tomasz Stepinski
