Compare of Clustering School Operational Aid Using Fuzzy Cluster Means and Fuzzy Geographically Weighted Clustering Method
نویسندگان
چکیده
منابع مشابه
Fuzzy Geographically Weighted Clustering
Geodemographic analysis has been described as “the analysis of spatially referenced geodemographic and lifestyle data” (See and Openshaw, 2001, p.269) It is widely used in the public and private sectors for the planning and provision of products and services. Geodemographic analysis often uses clustering techniques which are used to classify the geodemographic data into groups, making the data ...
متن کاملBilateral Weighted Fuzzy C-Means Clustering
Nowadays, the Fuzzy C-Means method has become one of the most popular clustering methods based on minimization of a criterion function. However, the performance of this clustering algorithm may be significantly degraded in the presence of noise. This paper presents a robust clustering algorithm called Bilateral Weighted Fuzzy CMeans (BWFCM). We used a new objective function that uses some k...
متن کاملOPTIMIZATION OF FUZZY CLUSTERING CRITERIA BY A HYBRID PSO AND FUZZY C-MEANS CLUSTERING ALGORITHM
This paper presents an efficient hybrid method, namely fuzzy particleswarm optimization (FPSO) and fuzzy c-means (FCM) algorithms, to solve the fuzzyclustering problem, especially for large sizes. When the problem becomes large, theFCM algorithm may result in uneven distribution of data, making it difficult to findan optimal solution in reasonable amount of time. The PSO algorithm does find ago...
متن کاملFuzzy Approaches to Context Variables in Fuzzy Geographically Weighted Clustering
Fuzzy Geographically Weighted Clustering (FGWC) is considered as a suitable tool for the analysis of geo-demographic data that assists the provision and planning of products and services to local people. Context variables were attached to FGWC in order to accelerate the computing speed of the algorithm and to focus the results on the domain of interests. Nonetheless, the determination of exact,...
متن کاملFuzzy approaches to context variable in fuzzy geographically weighted clustering
Fuzzy Geographically Weighted Clustering (FGWC) is considered as a suitable tool for the analysis of geo-demographic data that assists the provision and planning of products and services to local people. Context variables were attached to FGWC in order to accelerate the computing speed of the algorithm and to focus the results on the domain of interests. Nonetheless, the determination of exact,...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Proceeding International Conference on Science and Engineering
سال: 2020
ISSN: 2598-232X,2597-5250
DOI: 10.14421/icse.v3.527