Density-based classification with the DENCLUE algorithm

<p><span>Classification of information is a vague and difficult to explore area research, hence the emergence grouping techniques, often referred Clustering. It necessary differentiate between an unsupervised supervised classification. Clustering methods are numerous. Data partitioning hierarchization push use them in parametric form or not. Also, their influenced by algorithms probabilistic nature during data. The choice method depends on result that we want have. This work focuses classification using density-based spatial clustering applications with noise (DBSCAN) DENsity-based CLUstEring (DENCLUE) algorithm through application made csharp. Through three databases which IRIS database, breast cancer wisconsin (diagnostic) data set bank marketing set, show experimentally initial parameters important accelerate processing can minimize number iterations reduce execution time application.</span></p>