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This paper proposes a novel cluster-based geometrical dynamic stochastic model for multi-input and multi-output (MIMO) communication environments. It is assumed that the base station (BS) has an adaptive learning ability and the BS preprocesses the received data in advance. In the proposed channel model, scatterers can be clustered into different clusters based on a machine learning cluster algorithm...
With the emergence of big data and cloud computing, data stream arrives rapidly, large-scale and continuously, real-time data stream clustering analysis has become a hot topic in the study on the current data stream mining. Some existing data stream clustering algorithms cannot effectively deal with the high-dimensional data stream and are incompetent to find clusters of arbitrary shape in real-time,...
Nowadays, high performance parallel computation is deemed as a good solution to the complicated processing of massive spatial data. It is a very important precondition to make the most of this technology that data be partitioned. In this paper, we talk about the general strategy of spatial data partition and summarize its principles are good space proximity, balanced data load, small data redundancy...
With the constantly expanding of geo-spatial data scale, the increasing complexity of spatial operation, traditional single GIS mode can no longer meet new requirements of the mass geo-spatial data operation. How to maximize parallel equipment computational ability is the hot research topic. The parallel task division and geo-spatial data partition are put on the strategy study as the precondition...
In this work we introduce a probabilistic model for classifying segmented images. The proposed classifier is very general and it can deal both with images that were segmented with deterministic algorithms, such as the k-means algorithm, and with probabilistic clustering approaches, such as the Hidden Markov Random Field (HMRF) algorithm. Similarly, our model can be used on either binary images or...
Efficient circuit partitioning is becoming more and more important as the size of modern circuits keeps increasing. Conventionally, circuit partitioning is solved without altering the circuit by modeling the circuit as a hypergraph for the ease of applying graph algorithms. However, there is room for further improvement on even optimal hypergraph partitioning results, if logic information can be applied...
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