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A suitable grinding fineness and flow-sheet could potentially reduce the mechanical entrainment of gangue minerals in the flotation process of microcrystalline graphite. In this study, the suitable grinding fineness of a commercial graphite ore was estimated by mineralogy analysis and laboratory grind-flotation tests. The target grind size of this ore(More)
The time series is generally of high dimensionality and classifying in such a high dimensional space is often infeasible due to the curse of dimensionality. We propose a new time series classifying method, which aims to classify the time series into different classes. By using locality preserving projections (LPP), the time series can be projected into a(More)
Discordant subsequence in multivariate time series (MTS) is the subsequence that is least similar to all other MTS subsequences. In this paper, an algorithm of finding discordant subsequence in MTS, based on solving set, is proposed. Subsequences can be extracted by use of a sliding window. An extended Frobenius norm is used to compute the distance between(More)
Multivariate time series (MTS) datasets are common in various financial, multimedia and medical applications. MTS samples which differ significantly from the remaining MTS samples are referred to as outliers. In this paper, the outlier mining method based on local sparsity coefficient for MTS is proposed. An extended Frobenius norm is used to compare the(More)
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