Fuzzy Logic Based Consent Neighbor Clustering in High Dimensional Data

Provided by: The International Journal of Innovative Research in Computer and Communication Engineering
Topic: Big Data
Format: PDF
High dimensional data clustering arises naturally in a lot of domains and have regularly presented a great deal with for usual data mining techniques. In this paper, presents an optimal perspective on the problem of Consensus Clustering in high-dimensional data. The proposed method called Fuzzy based and Kernel mappings with Consensus Neighboring Clustering (FKCNC), which takes as key measures of correspondence between pairs of data points. The proposed method is to establish a unified framework for FKCNC on both supervised and supervised data sets

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