Data processing method based on fast density clustering

• Main Authors: JI TIANYU, WANG XUEQING, HAN FEI, WANG HONGLAI
• Format: Patent
• Language: Chinese; English
• Published: 15.12.2023
• Subjects: CALCULATING; COMPUTING; COUNTING; ELECTRIC DIGITAL DATA PROCESSING; PHYSICS

The invention discloses a data processing method based on fast density clustering, and relates to the technical field of big data. According to the data processing method based on rapid density clustering, an information diffusion-based rapid adaptive density clustering algorithm is provided and recorded as RLCA + IDM, the information diffusion principle helps the RLCA + A algorithm to search for a reasonable cutoff distance in an incomplete distance matrix, then each research object is assumed to be an information node, and the information diffusion principle is assumed to be an information node; the information content from other points can be sent and received, finally, all information sets and information sources of the information sets are reasonably merged into one class, and noise nodes are removed at the same time. According to the RLCA-IDM adaptive clustering algorithm provided by the invention, the calculated amount is greatly reduced, the computing power is saved and the computing resources can be