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Spectra Miner

A visual analytic framework for analyzing hierarchical relations embedded in a high-dimensional and large-scale dataset, equipped with parallel algorithms implemented on GPU for fast clustering of data and learning the hierarchy. The system is developed intending to facilitate scientific analysis in the domain of aerosol science.

Teaser

The extended circular dendrogram visualizing the hierarchy learned from aerosal particle spectrums

Paper

J. Wang, A. Zelenyuk, D. Imre, and K. Mueller, “Big Data Management with Incremental K-Means Trees–GPU-Accelerated Construction and Visualization,” Informatics, vol. 4, no. 3, pp. 24, 2017 Paper

J. Wang, E. Papenhausen, B. Wang, S. Ha, A. Zelenyuk, and K. Mueller, “Progressive Clustering of Big Data with GPU Acceleration and Visualization,” in IEEE Proc. New York Scientific Data Summit (NYSDS17), New York, Aug. 2017 Paper / Talk

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