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Displaying 1-7 out of 7 total
A Cluster Validity Index for Fuzzy Clustering Based on Non-distance
Found in: 2013 Fifth International Conference on Computational and Information Sciences (ICCIS)
By Jiashun Chen,Dechang Pi
Issue Date:June 2013
pp. 880-883
Aiming at the weak points of fuzzy cluster validity indexes that measure compactness within cluster and separation between clusters based on distance, we propose a new non-distance cluster index. Firstly, we analyze that validity index based on distance ca...
A Fuzzy Clustering Algorithm Based on K-means
Found in: Electronic Commerce and Business Intelligence, International Conference on
By Zhen Yan, Dechang Pi
Issue Date:June 2009
pp. 523-528
Traditional K-means algorithm cannot get high clustering precise rate, and easily be affected by clustering center random initialized and isolated points, but the algorithm is simple with low time complexity, and can process the big data set quickly. This ...
Research and Implementation on Summary Data Generating Algorithm for Streaming Data Based on Haar Wavelet Transform
Found in: Computer and Automation Engineering, International Conference on
By Jinfeng Jiang, DeChang Pi, Xiao Huang
Issue Date:March 2009
pp. 127-130
The study on streaming data is one of the hot topics among the database field recently. Unlike traditional data sets, stream data arrive continuously and they are fast changing, massive, possibly unpredictable. These characteristics of data stream determin...
A Clustering Algorithm Based on Symmetric Neighborhood of Micro-clusters
Found in: Computer and Automation Engineering, International Conference on
By Yu Zhang, Dechang Pi
Issue Date:March 2009
pp. 118-122
Clustering is an important task in data mining with numerous applications, including minefield detection, seismology, astronomy, etc. At present, the academic communities have introduced various clustering algorithms, and these methods have been widely app...
A Trajectory Clustering Algorithm Based on Symmetric Neighborhood
Found in: Computer Science and Information Engineering, World Congress on
By Yu Zhang, Dechang Pi
Issue Date:April 2009
pp. 640-645
Trajectory clustering is attractive for the task of class identification in spatial database. Existing trajectory clustering algorithm TRCLUS uses global parameters to discover common trajectories. However, it can not discover small and dense clusters and ...
Unifying Density-Based Clustering and Outlier Detection
Found in: International Workshop on Knowledge Discovery and Data Mining
By Yunxin Tao, Dechang Pi
Issue Date:January 2009
pp. 644-647
Density-based clustering and density-based outlier detection have been extensively studied in the data mining. However, Existing works address density-based clustering or density-based outlier detection solely. But for many scenarios, it is more meaningful...
A Neighborhood-Based Trajectory Clustering Algorithm
Found in: Power Electronics and Intelligent Transportation System, Workshop on
By Yunxin Tao, Dechang Pi
Issue Date:August 2008
pp. 272-275
Existing trajectory clustering algorithm TRACLUS uses global parameters, it can not distinguish small, close, and dense trajectory clusters from large and sparse trajectory clusters. Moreover, TRACLUS needs two input parameters and is sensitive to input pa...