The Application of an Improve K-Means Algorithm in Heat of New Media Products
Yaling Li;Tao Li;Xinbin Cao;
Aiming at the key words such as forwarding and commenting on meteorological new media products are studied. The key words such as forwarding and commenting are clustered by using k-means algorithm to obtain the heat of keywords concerned by the users of meteorological new media, thus providing data support for the research and development of meteorological new media products. Finally, the feasibility of the research method is verified by the heat analysis of meteorological new media products of Chuan tai tian qi micro-blog's.
【CateGory Index】： P4;G206