Songmin Xie

摘要： Hierarchical Clustering Explorerfor Multidimensional Clustering and Outlier Detection About This Project | HCE 3.0 (HCE2W) | HCE 2.0 | HCE 1.0 | Download Project Description... 阅读全文

摘要： CLASSIFICATION Consider a set of training data samples in which each sample is labelled as belonging to one of several pre-specified ‘classes’. Data classification then involves the assignment of newl... 阅读全文

摘要： DENSITY ESTIMATION [Continued...] (Gaussian) mixture models attempt to find the superposition of Gaussians which best accounts for the sample data. Properties: Continuous and robust density estimates... 阅读全文

摘要： Continued...] Spatial binning methods simply partition the space into regular blocks and count the number of samples in each block. The population density estimate within each block is given by the nu... 阅读全文

摘要： DENSITY ESTIMATION Data ‘samples’ are by definition representatives of some unknown ‘population’ (e.g. surveys). The goal of density estimation is to model the distribution of data in the population ... 阅读全文

摘要： CLUSTER ANALYSiS [Continued...] Realistic data sets sometimes contain clusters within clusters. Partitional methods, as well as some hierarchical methods, are unable to detect subclus... 阅读全文

摘要： CLUSTER ANALYSiS [Continued...] The best way to gain some intuition into the process of clustering is through some simple examples: Human beings have an inherent ability to identify clu... 阅读全文

摘要： CLUSTER ANALYSIS Cluster analysis is a commonly used technique (or set of techniques) for identifying structure in data when such structure is unknown a priori. More specifically, cluster analysis is... 阅读全文

摘要： http://www.rokey.net/ 阅读全文