نتایج جستجو برای: bayesian clustering
تعداد نتایج: 181928 فیلتر نتایج به سال:
The project aims at implementing a face recognition system based on Bayesian analysis of difference images. It converts the problem of face recognition into a two-class clustering problem, which then can be conveniently solved using Bayesian decision theory. The advantages of this approach are better performance than conventional approaches and increased computational efficiency especially when...
The goal of network clustering algorithms detect dense clusters in a network, and provide a first step towards the understanding of large scale biological networks. With numerous recent advances in biotechnologies, large-scale genetic interactions are widely available, but there is a limited understanding of which clustering algorithms may be most effective. In order to address this problem, we...
In this work, we propose a novel clustering algorithm based on Bayesian Sequential Partition (BSP) and the spectral clustering algorithm. Since the BSP is capable of providing much more accurate density estimates when the sample space is of moderate to high dimension, the proposed clustering algorithm is believed to be superior to available ones when dealing with high dimensional problems. To d...
Clustering techniques have been used by many intelligent software agents in order to retrieve lter and categorize documents available on the World Wide Web Clustering is also useful in extracting salient features of related web documents to automatically formulate queries and search for other similar documents on the Web Traditional clustering algorithms either use a priori knowledge of documen...
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