Soil Moisture Content Error Detection Based on DBSCAN Algorithm
暂无分享,去创建一个
The utilize of GStar-I soil moisture content viewer has greatly changed the information management of meteorological departments, the accuracy of the equipment is a big problem. Checking the possible malfunction of the equipment from the collected data intelligently is a solution. DBSCAN algorithm is a clustering algorithm, which can help to discover the noise points help to classify the noise points can analyze the reason of malfunction.
[1] Ping Li,et al. Using Greedy algorithm: DBSCAN revisited II , 2004, Journal of Zhejiang University. Science.
[2] Vipin Kumar,et al. Chameleon: Hierarchical Clustering Using Dynamic Modeling , 1999, Computer.
[3] Derya Birant,et al. ST-DBSCAN: An algorithm for clustering spatial-temporal data , 2007, Data Knowl. Eng..
[4] Michalis Vazirgiannis,et al. Clustering validity checking methods: part II , 2002, SGMD.
[5] HalkidiMaria,et al. Cluster validity methods , 2002 .