If you are asked to chair a meeting,remember the following six golden rules for meeting management.Always start the meeting on time.If you begin on time,group members who show up late will realize the value of time.Be...If you are asked to chair a meeting,remember the following six golden rules for meeting management.Always start the meeting on time.If you begin on time,group members who show up late will realize the value of time.Beginning on time reflects skill as an effective time manager and sets a precedent(前例)展开更多
Because the traditional method is difficult to obtain the internal relationshipand association rules of data when dealingwith massive data, a fuzzy clusteringmethod is proposed to analyze massive data. Firstly, the sa...Because the traditional method is difficult to obtain the internal relationshipand association rules of data when dealingwith massive data, a fuzzy clusteringmethod is proposed to analyze massive data. Firstly, the sample matrix wasnormalized through the normalization of sample data. Secondly, a fuzzy equivalencematrix was constructed by using fuzzy clustering method based on thenormalization matrix, and then the fuzzy equivalence matrix was applied as thebasis for dynamic clustering. Finally, a series of classifications were carried out onthe mass data at the cut-set level successively and a dynamic cluster diagram wasgenerated. The experimental results show that using data fuzzy clustering methodcan effectively identify association rules of data sets by multiple iterations ofmassive data, and the clustering process has short running time and good robustness.Therefore, it can be widely applied to the identification and classification ofassociation rules of massive data such as sound, image and natural resources.展开更多
文摘If you are asked to chair a meeting,remember the following six golden rules for meeting management.Always start the meeting on time.If you begin on time,group members who show up late will realize the value of time.Beginning on time reflects skill as an effective time manager and sets a precedent(前例)
文摘Because the traditional method is difficult to obtain the internal relationshipand association rules of data when dealingwith massive data, a fuzzy clusteringmethod is proposed to analyze massive data. Firstly, the sample matrix wasnormalized through the normalization of sample data. Secondly, a fuzzy equivalencematrix was constructed by using fuzzy clustering method based on thenormalization matrix, and then the fuzzy equivalence matrix was applied as thebasis for dynamic clustering. Finally, a series of classifications were carried out onthe mass data at the cut-set level successively and a dynamic cluster diagram wasgenerated. The experimental results show that using data fuzzy clustering methodcan effectively identify association rules of data sets by multiple iterations ofmassive data, and the clustering process has short running time and good robustness.Therefore, it can be widely applied to the identification and classification ofassociation rules of massive data such as sound, image and natural resources.
