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Keyword: Fuzzy ClusteringOpen AccessArticle
5 Pages, 892 KB 
An Enhanced Fuzzy Clustering with Cluster Density Immunity
Abstract:
Clustering is one of the well-known unsupervised learning methods that groups data into homogeneous clusters, and has been successfully used in various applications. Fuzzy C-Means(FCM) is one of the representative methods in fuzzy clustering. In FCM, however, cluster centers tend leaning to high density area because the sum of Euclidean distances in FCM forces high…
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Open AccessArticle
16 Pages, 987 KB
Elasticity Based Med-Cloud Recommendation System for Diabetic Prediction in Cloud Computing Environment
Abstract:
Day to day huge medical data have been accumulating for diabetic diseases. The complexity of storing, processing ,analyzing and predicting the data related to diabetics is not so easy for healthcare professionals .The prediction of accurate results also has the limitation due to scale of data increasing worldwide for patients, symptoms and test results .In…
Read More(This article belongs to Section Artificial Intelligence in Computer Science (CAI))