Self-organizing maps
Pattern Recognition with Fuzzy Objective Function Algorithms
Pattern Recognition with Fuzzy Objective Function Algorithms
Fuzzy Algorithms: With Applications to Image Processing and Pattern Recognition
Fuzzy Algorithms: With Applications to Image Processing and Pattern Recognition
Visual Data Mining In Atmospheric Science Data
Data Mining and Knowledge Discovery
Parallel Coordinates: Visual Multidimensional Geometry and Its Applications
Parallel Coordinates: Visual Multidimensional Geometry and Its Applications
Visual mining of spatial time series data
PKDD '04 Proceedings of the 8th European Conference on Principles and Practice of Knowledge Discovery in Databases
Clustering of time-series subsequences is meaningless: implications for previous and future research
Knowledge and Information Systems
Making Subsequence Time Series Clustering Meaningful
ICDM '05 Proceedings of the Fifth IEEE International Conference on Data Mining
Exploratory Analysis of Spatial and Temporal Data: A Systematic Approach
Exploratory Analysis of Spatial and Temporal Data: A Systematic Approach
Unsupervised possibilistic clustering
Pattern Recognition
Visual Data Mining: An Introduction and Overview
Visual Data Mining
Context Visualization for Visual Data Mining
Visual Data Mining
Development of an interactive visual data mining system for atmospheric science
ISHPC'05/ALPS'06 Proceedings of the 6th international symposium on high-performance computing and 1st international conference on Advanced low power systems
Analysis of parameter selections for fuzzy c-means
Pattern Recognition
Visual techniques for the interpretation of data mining outcomes
PCI'05 Proceedings of the 10th Panhellenic conference on Advances in Informatics
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Quality control of climate data obtained from weather stations is essential to ensure reliability of research and services based on this data. One way to perform this control is to compare data received from one station with data from other stations which somehow are expected to show similar behavior. The purpose of this work is to evaluate some visual data mining techniques to identify groupings (and outliers of these groupings) of weather stations using historical precipitation data in a specific time interval. We present and discuss the techniques' details, variants, results and applicability on this type of problem.