Fuzzy Clustering is a data clustering technique wherein each data point belongs to a cluster to some degree that is specified by a membership grade. It provides a method of how to group data points that populate some multidimensional space into a specific number of different clusters. Clusters are identified via similarity measures. These similarity measures include distance, connectivity, and intensity. Different similarity measures may be chosen based on the data or the application.
More Post
-
Lecture Membership to a Company
-
Various Ways in which Nature Promotes Human Well-being
-
Google Maps Can Now notify You if Your Way is on Fire
-
Card Making Business
-
Researchers Use High-Pressure Techniques to Find Two-Dimensional Material
-
Ocean Currents Have Not Fueled the Rise in Atmospheric Carbon Dioxide, According to a Study of Deep-Sea Corals
Latest Post
-
Cathodic Modification
-
Anodic Protection (AP)
-
New Maps Assist Decision-makers in Considering Albedo when Planting Trees
-
Experts Fear that Climate Change will Exacerbate the Spread of Infectious Diseases
-
Curbside Pickup enhances Organic Waste Composting and Decreases Methane Emissions
-
Key Concepts of Electromagnetic Induction