Model based clusteringFinite mixture modelingEM algorithmSpatial data miningGISFriuli Venezia Giulia RegionItalySummary: In this paper we present the finite mixture models approach to clustering of high dimensional data. The mixture resolving approach to cluster analysis has been addressed in a number of...
8.4 Model Based Clustering(下) The motivation for this course started with the development of information techniques. The amount of traffic data collected is growing at an increasing rate. At the same time, the users of these data are expecting more s
In many emerging data mining applications, one needs to cluster complex data such as very high-dimensional sparse text documents and continuous or discrete time sequences. Probabilistic model-based clustering techniques have shown promising results in many such applications. For real-valued low-dimension...
which is the survival of the fittest each other of dynamic K-means improve cluster algorithm and fuzzy c mean value clustering.Through two clusters to process complex data,in order that obtain accurate cluster quantity and membership.Finally through the simulation of the coal mining product data,...
Model-based clustering in group-specific functional subspaces with the funHDDC algorithm day 被引量: 5发表: 2014年 Clustering multivariate functional data in group-specific functional subspaces (2011). Model-based clustering of time series in group- specific functional subspaces. Adv. Data Analysis ...
Model-based clustering is a popular technique relying on the notion of finite mixture models that proved to be efficient in modeling heterogeneity in data. The underlying idea is to model each data group by a particular mixture component. This relationship between mixed distributions and clusters for...
This section explains how to create queries for models that are based on the Microsoft Sequence Clustering algorithm. For general information about creating queries, see Querying Data Mining Models (Analysis Services - Data Mining). Content Queries Using the Data Mining Schema Rowset to Return Model...
In addition, the data mining methods based on cloud computing will make customers gradually lose the ability to control the data. Because of the above problems, this paper proposes a university data mining method based on the MDA idea by constructing a data analysis and visualization framework, ...
With this kernel theoretical base, information\|entropy\|based decision\|tree model and spatial\|temopral clustering by partition model were developed. 展开 关键词: Information entropy Data mining Geo\|analysis model 被引量: 30 年份: 1999 ...
The clusters are dynamic and built in real-ti... C Piciarelli,GL Foresti,L Snidara - IEEE Conference on Advanced Video & Signal Based Surveillance 被引量: 139发表: 2005年 基于AIS信息的船舶轨迹聚类模型及应用 Ship trajectory clustering model based on AIS data and its application [ J ] . ...