A Robust Multi-Sensor Data Fusion Clustering Algorithm Based on Density Peaks
نویسندگان
چکیده
منابع مشابه
A Link Density Clustering Algorithm based on Automatically Selecting Density Peaks For Overlapping Community Detection
In this paper, we proposed a link density clustering method for overlapping community detection based on density peaks. We firstly use an extended cosine link distance metric to reflect the relationship of links. Then we introduce a clustering algorithm with fast search for solving the link clustering problem by density peaks with box plot strategy to determine the cluster centres automatically...
متن کاملA Multi-clustering Fusion Algorithm
A multi-clustering fusion method is presented based on combining several runs of a clustering algorithm resulting in a common partition. More specifically, the results of several independent runs of the same clustering algorithm are appropriately combined to obtain a partition of the data which is not affected by initialization and overcomes the instabilities of clustering methods. Finally, the...
متن کاملA Novel Multi-Focus Image Fusion Method Based on Stochastic Coordinate Coding and Local Density Peaks Clustering
The multi-focus image fusion method is used in image processing to generate all-focus images that have large depth of field (DOF) based on original multi-focus images. Different approaches have been used in the spatial and transform domain to fuse multi-focus images. As one of the most popular image processing methods, dictionary-learning-based spare representation achieves great performance in...
متن کاملA Study on TPMS Pre-warning Threshold Algorithm Based on Multi-sensor Data Fusion
In order to improve the precision of the tire pressure monitoring system, the Bayes method is applied to establish its mathematical model of multi-sensor information fusion. The temperature and pressure in the tire, which are the complementary information, are integrated in the model through analyzing the mechanism of tire burst generated by temperature and pressure. Through the temperature com...
متن کاملA Density Clustering Algorithm Based on Data Partitioning
As a density clustering algorithm, DBSCAN can find the denser part of data-centered samples, and generalize the category in which sample is relatively centered. This article analyzes the traditional DBSCAN clustering algorithm and its flaw, and discusses an implementation of a density clustering algorithm based on data partitioning. The algorithm can solve the memory support and I/O consuming p...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Sensors
سال: 2019
ISSN: 1424-8220
DOI: 10.3390/s20010238