A clustering method for mashup services based on density peak detection
A clustering method and density peak technology, applied in the field of Mahsup service clustering based on density peak detection, can solve the problems of large amount of data, the clustering effect depends on the selection of the truncation distance, and the inability to pick out the cluster center point, etc. Reasonable density distribution, guaranteed accuracy and stability, and stable clustering effect
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[0042] The present invention will be further described below.
[0043] A method for clustering Mahsup service based on density peak detection. In the present invention, the feature vector of Mashup service can be a vectorized representation of feature information in Mahsup service by means of natural language processing technology or other feature information processing technology. In the Mashup service clustering scenario, this vector is the basic unit participating in the clustering, and each Mashup service feature vector is unique.
[0044] The service clustering method includes the following steps:
[0045] The first step is to calculate the local density, the distance between vectors and the closest distance of higher density for the feature vectors of all the Mashup services participating in the clustering; the process is as follows:
[0046] Step (1.1) Traverse each Mashup service feature vector and calculate the local density ρ of the current vector y , the calculati...
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