Estimation of parameters in latent class models using fuzzy clustering algorithms

Article Abstract:

The new proposal of Fuzzy Classification Maximum Likelihood (FCML) algorithm is preferred for the estimation of parameters in latent class models as it has better accuracy, robustness and effectiveness when compared with the other algorithms.

Comparative analysis, Algorithms, Algorithm, Parameter estimation

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Density based fuzzy c-means clustering of non-convex patterns

Article Abstract:

A technique to perform unsupervised data classification or clustering is developed, using modified fuzzy-c means algorithm. The new clustering method can automatically recognize multidimensional clusters of non-convex shape.

Australia, Nonlinear programming, Data warehousing/data mining, Data mining

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Comparing SOM neural network with Fuzzy c-means, K-means and traditional hierarchical clustering algorithms

Article Abstract:

A study compares clustering algorithms like the self-organization map using a fuzzy analysis. Multivariate statistics is used in the study.

Brazil, Analysis, Multivariate analysis, Clustering (Computers), Server clustering

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