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[PDF] Top 20 A Reweighting Approach to Robust Clustering

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A Reweighting Approach to Robust Clustering

A Reweighting Approach to Robust Clustering

... equal to the true contamination level ...that reweighting can adapt well to the positioning of the outliers, there- fore flexibly trimming more or less as needed within each ... See full document

28

Exploring the number of groups in robust model based clustering

Exploring the number of groups in robust model based clustering

... important to note that the presented approach does not pose any strong distri- butional assumption on the contaminating part of the ...sensitive to deviations from the requirements posed on the ... See full document

25

Robust Approaches for Fuzzy Clusterwise Regression Based on Trimming and Constraints

Robust Approaches for Fuzzy Clusterwise Regression Based on Trimming and Constraints

... 0-1 clustering procedures partition the data into G completely disjoint ...fuzzy clustering meth- ods provide nonnegative membership values of observations to clusters and overlapping clusters are so ... See full document

10

Fuzzy Clustering Throug Robust Factor Analyzers

Fuzzy Clustering Throug Robust Factor Analyzers

... fuzzy clustering, data elements can belong to more than one cluster, and membership levels are associated with each element, to indicate the strength of the association between that data element and ... See full document

6

Robust Fuzzy Clustering via Trimming and Constraints

Robust Fuzzy Clustering via Trimming and Constraints

... way to provide robustness to statistical ...in clustering needs to be done by taking into account the possibility of discarding “bridge ...way to perform trimming is to let the ... See full document

8

The TCLUST Approach to Robust Cluster Analysis

The TCLUST Approach to Robust Cluster Analysis

... order to estab- lish the consistency ...rare to find a distribution where the uniqueness fails, when dealing with “reasonable” data for clustering and when parameters k and α have been properly ... See full document

43

Robust Constrained Fuzzy Clustering

Robust Constrained Fuzzy Clustering

... interesting to evaluate the performance of the “classification trimmed-likelihood curves” [16] in the fuzzy clustering set ...This approach is based on the graphic representation of the maximum values ... See full document

28

A Fuzzy Approach to Robust Clusterwise Regression

A Fuzzy Approach to Robust Clusterwise Regression

... in clustering, that has been introduced in [26] and extended in [14], allows in- termediate degrees of membership for each ...possible to define meaningful hard par- titions. Our robust fuzzy linear ... See full document

34

Robust, fuzzy, and parsimonious clustering based on mixtures of Factor Analyzers

Robust, fuzzy, and parsimonious clustering based on mixtures of Factor Analyzers

... A clustering algorithm that combines the advantages of fuzzy clus- tering and robust statistical estimators is ...used to fuzzy partition the data set and to contribute to the ... See full document

28

Use of Cepstrum-based parameters for automatic pathology detection on speech. Analysis of  performance and theoretical justification

Use of Cepstrum-based parameters for automatic pathology detection on speech. Analysis of performance and theoretical justification

... alternative approach based on cepstral-domain processing is presented which has the advantage of not requiring pitch estimation, thus providing a gain in both simplicity and ...similar to solutions based on ... See full document

7

Straight forward and robust new method to price American options by simulation : a probability distribution function approach

Straight forward and robust new method to price American options by simulation : a probability distribution function approach

... and robust new method to price European as well as American options, which uses the characteristics of each stochastic process implemented to describe the behavior of the underlying as- set through ... See full document

74

Robust Visual SLAM in Challenging Environments with Low-texture and Dynamic Illumination

Robust Visual SLAM in Challenging Environments with Low-texture and Dynamic Illumination

... adapted to the case of line segments. This approach estimates simultaneously the correct matches and the pose increment by considering one-to-many line matches inside a non-linear optimization ... See full document

167

A clustering based Approach for Unsupervised Word Sense Disambiguation

A clustering based Approach for Unsupervised Word Sense Disambiguation

... star clustering algorithm. Unlike previous work in WSD, the clustering algorithm is here used to contextually group word senses according to their ...our approach profits from both ... See full document

8

A bibliographical approach to English language teaching

A bibliographical approach to English language teaching

... Teaching English as a Foreign Language: Theory and Practice.. Lausanne: Didier International, 1972.[r] ... See full document

14

Clustering craftwork activities: An approach to promote regional development in a peripheral region of Portugal

Clustering craftwork activities: An approach to promote regional development in a peripheral region of Portugal

... related to the nation as a ...descriptive approach using only two variables in two different territorial ...need to share common resources and to allow positive spillovers); linkages (their ... See full document

20

An Object Oriented Approach for Robust Optimization of Delayed Systems

An Object Oriented Approach for Robust Optimization of Delayed Systems

... due to its influence on the final ...due to the fact that the critical manifolds can be located in very different points of the space according to the ...used to generate the initial point of ... See full document

88

A Rhetorical Approach to the Literary Essay: Pedagogical Implications

A Rhetorical Approach to the Literary Essay: Pedagogical Implications

... being to laugh, to scold, to say what she likes, to be what she ...used to define them as “violent and eccentric; charming and ill-tempered; some have bloodshot eyes; others handle ... See full document

14

Application of robust control to a cryogenic current comparator

Application of robust control to a cryogenic current comparator

... instrument to detect their ...corresponds to a detector reading equal ...used to reject the effects of unwanted sig- nals, guarantee closed-loop stability, and improve ...tools to model ... See full document

8

Analysis of a stabilized penalty free nitsche method for the brinkman, stokes, and darcy problems

Analysis of a stabilized penalty free nitsche method for the brinkman, stokes, and darcy problems

... respect to the mesh- dependent norm ...order to allow the reader to follow the derivation in detail and, eventually, to clearly assess the role of the physical parameters within the derived ... See full document

36

Application of clustering techniques to privacy protection

Application of clustering techniques to privacy protection

... K-means clustering microaggregation for statistical disclosure control: proposed in [11], this technique starts with one cluster and subsequently partitions the dataset into two or more clusters such that the ... See full document

55

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