Data mining and knowledge discovery in databases
Communications of the ACM
The data warehouse and data mining
Communications of the ACM
Introduction to data compression
Introduction to data compression
ACM Computing Surveys (CSUR)
Cluster Analysis for Gene Expression Data: A Survey
IEEE Transactions on Knowledge and Data Engineering
Compression, Clustering, and Pattern Discovery in Very High-Dimensional Discrete-Attribute Data Sets
IEEE Transactions on Knowledge and Data Engineering
Data Mining: Concepts and Techniques
Data Mining: Concepts and Techniques
Closed Constrained Gradient Mining in Retail Databases
IEEE Transactions on Knowledge and Data Engineering
Mining images using clustering and data compressing techniques
International Journal of Information and Communication Technology
Some new indexes of cluster validity
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
Self organization of a massive document collection
IEEE Transactions on Neural Networks
Clustering of the self-organizing map
IEEE Transactions on Neural Networks
Neuro-fuzzy rule generation: survey in soft computing framework
IEEE Transactions on Neural Networks
Mining images using clustering and data compressing techniques
International Journal of Information and Communication Technology
Dynamic k-means: a clustering technique for moving object trajectories
International Journal of Intelligent Information and Database Systems
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Satellite images of clouds play a significant role in predicting weather conditions. Frequency of image acquisition varies from one image per minute to one image per hour depending on the climatic conditions. These phenomena result in huge collection and creation of image data warehouse. Permanent storage and transmission of images is a challenging task. In this paper, data mining clustering technique along with Vector Quantisation (VQ) is applied to cluster and compress static colour image. Results are shown to demonstrate the findings both subjectively and visually.