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Semi-supervised clustering is one of the most active research area in machine learning and pattern recognition, which can improve the performance of unsupervised clustering efficiently. This paper focuses on exploiting both the label information of a few labeled samples and the spatial distribution information of large amount of unlabeled samples. We proposed a new semi-supervised clustering method,...
Map segmentation method similar to the way human percept the external environment can decrease the computational complexity of robot navigation algorithm and SLAM problem. This paper presents an introduction to the application of spectral cluster method in map segmentation process. Then this paper presents several kinds of similarity measurement criteria to construct the similarity matrix. With these...
With the rapid development of technology, acquiring and storing big data from various fields is no longer a problem. Instead, how to utilize the data becomes an important and hot research topic. Clustering is one of the important tasks for big data utility. However, there exists one well-known challenge for the task, i.e. it is difficult to incorporate prior information into the clustering results...
Configuring uplink-downlink frame structure has played an important role in TD-LTE Heterogeneous Cellular Networks (HCNs), but how to dynamically choose the specific TD-LTE frame structure under the densely deployed scenarios has not been well investigated. In this paper, we proposed a novel dynamic frame configuration scheme which could resolve the above problem with low complexity. Specifically,...
Affinity Propagation (AP) algorithm is a useful clustering technique with a lot of noteworthy advantages. It has been successfully applied in many applications. However, this algorithm does not scale for large scale data sets because it requires quadratic computational time and memory usage in the problem size. In this paper, we concentrate on the needs of big data analytics and propose an effective...
This paper presents a hierarchical method of region division for mobile robot system based on spectral clustering algorithm. Firstly, to improve the exploration efficiency, topological map is constructed incrementally using a hybrid map model with grid-topplogy structure. And then, topology-based Voronoi Diagram is introduced to divide the map and express the whole environment uniquely. Meanwhile,...
A new algorithm for multiple partial discharge sources separation is proposed in this paper. ST is firstly employed to obtain the time-frequency representation of original PD pulses. Then, PD pulses similarity matrix is computed based on ST amplitude matrix. By using the pulses similarity matrix, affinity propagation clustering is applied to perform the automatic separation of PD pulses. The proposed...
Web query log data contain information useful to research; however, release of such data can re-identify the search engine users issuing the queries. These privacy concerns go far beyond removing explicitly identifying information such as name and address, since non-identifying personal data can be combined with publicly available information to pinpoint to an individual. In this work we model web...
In wireless sensor networks, the accuracy of data fusion is likely to be contaminated by the environment affects nearby the nodes. In this paper, an appropriate fusion model and algorithm is given to solve this problem. According to the clustering fusion model, a weighted fuzzy fusion algorithm based on fuzzy reasoning for cluster heads, is proposed. The advantage of this algorithm is to vary weight...
Releasing person-specific data could potentially reveal sensitive information of individuals. k-anonymization is a promising privacy protection mechanism in data publishing. Though substantial research has been conducted on k-anonymization and its extensions in recent years, few of them consider releasing data for a specific purpose of data analysis. This paper presents a practical data publishing...
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