Open Access Open Access  Restricted Access Subscription or Fee Access

The Improvement of Fuzzy Cluster Analysis Algorithm in Data Mining

Xiaogang Xia, Yunfeng Yang


Data Mining is a hot topic of artificial intelligence and the research of database field at present. Cluster analysis is one of the core techniques of Data Mining. Based on analyzing the advantage and the disadvantage of the classical Fuzzy Cluster Analysis FCM algorithm(fuzzy c-means). The disadvantage of FCM lack of given prototype is improved, Also the corresponding improved algorithm--IFCM algorithm is given in this article. The Advantage that IFCM algorithm can produce the ideal data prototype is illuminated theoretically and the initial classification result is given. In the same time, the example confirmed the merit.


fuzzy cluster analysis; FCM algorithm; data mining; IFCM algorithm.

Full Text:


Disclaimer/Regarding indexing issue:

We have provided the online access of all issues and papers to the indexing agencies (as given on journal web site). It’s depend on indexing agencies when, how and what manner they can index or not. Hence, we like to inform that on the basis of earlier indexing, we can’t predict the today or future indexing policy of third party (i.e. indexing agencies) as they have right to discontinue any journal at any time without prior information to the journal. So, please neither sends any question nor expects any answer from us on the behalf of third party i.e. indexing agencies.Hence, we will not issue any certificate or letter for indexing issue. Our role is just to provide the online access to them. So we do properly this and one can visit indexing agencies website to get the authentic information. Also: DOI is paid service which provided by a third party. We never mentioned that we go for this for our any journal. However, journal have no objection if author go directly for this paid DOI service.