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Binning of data in cluster analysis has advantages both in deducing the computation cost and taking into account the localization imprecision of data. In cluster analysis, basing on Gaussian mixture models is a powerful approach, among which two most common model-based cluster approaches are mixture approach and classification approach. Mixture approach estimates the model parameters by maximizing...
This paper models: (1) Y-STR data and; (2) Y-STR hard and soft clustering. The Y-STR models are extended and developed to test on three data sets of Y-STR haplogroup and Y-STR Surname. The results show that the hard clustering models and the soft clustering models have their advantages and disadvantages. The soft k-Means model produces a good clustering accuracy of 99.62% for Y-STR haplogroup data,...
We have investigated a technique for recognising faces invariant of facial expressions. We apply multi-linear tensor algebra, which subsumes linear algebra, to analyse and recognise 3D face surfaces. This potent framework possesses a remarkable ability to deal with the shortcomings of principle component analysis in less constrained situations. A set of vector spaces can be used to represent the variation...
A fuzzy feature of weather radar echo was introduced as the measurement of horizontal texture of echo image, and the local mean of the second lowest level was taken as the measurement of vertical echo scale. An algorithm of weather radar base reflectivity noise filtering was proposed based on Support Vector Machine (SVM). The results show that the echoes of non-precipitation such as ground clutter...
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