DENCLUE: Using Statistical Density Functions
{"Image DocumentName": "DENCLUE: Using Statistical Density Functions", "Image ImageDescription": "DENsity-based CLUstEring by Hinneburg & Keim (KDD\u201998) Using statistical density functions: Major features. Solid mathematical foundation. Good for data sets with large amounts of noise. Allows a compact mathematical description of arbitrarily shaped clusters in high-dimensional data sets. Significant faster than existing algorithm (e.g., DBSCAN) But needs a large number of parameters. total influence on x. influence of y on x. gradient of x in the direction of xi.", "Image XResolution": "37", "Image YResolution": "37", "Image ResolutionUnit": "Pixels/Centimeter", "Image Software": "SlidePlayer", "Image YCbCrPositioning": "Centered"}