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With the development of high-throughput and low-cost sequencing technology, a large amount of marine microbial sequences is generated. So, it is possible to research more uncultivated marine microbes. The marine microbial diversity, the association patterns among marine microbial species and environment factors are hidden in these large amount sequences. Understanding these association patterns has...
Clustering is one of the most commonly data explorer techniques in Data Mining. K-harmonic means clustering (KHM) is an extension of K-means (KM) and solves the problem of KM initialization using a built-in boosting function. However, it is also suffering from running into local optima. As a stochastic global optimization technique, harmony search (HS) can solve this problem. HS-based KHM, HSKHM not...
Due to the importance of gene expression data in cancer diagnosis and treatment, microarray gene expression data have attracted more and more attentions from cancer researchers in recent years. However, in real-world computational analysis, such data common meet with the curse of dimensionality due to the tens of thousands of measures of gene expression level versus the small number of samples. therefore,...
Aiming at a defect on randomness of the initial clustering center choosing and sensitivity of initial value in tradition FCM, a clustering algorithm about FCM of weighted Characteristic is proposed. It compensates the color's inhomogeneous by interposing weighted matrix in RGB color space, and uses a statistics clustering algorithm of minimal maximal distance in class to initiate clustering center...
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