![[R logo]](../../../doc/html/Rlogo.svg)
![[Up]](../../../doc/html/left.jpg)
![[Top]](../../../doc/html/up.jpg)
| agreementRateBinM | Agreement rate by maximum posterior values. |
| assignFinIdxPerClSkm | Assign final indices to means that have the smallest angle. |
| assignIdxPerClMBinEM | Assign final indices to data by maximum posterior value. |
| checkViews | Check views for consistency... |
| conceptIndicesSkm | Calculate partitions (concept indices) by assigning each vector to the closest concept vector. |
| conceptVectorsSkm | Calculate concept vectors for Spherical k-Means as unit length sum of vectors of the k clusters. |
| consensusMeansPerClVSkm | Calculate means per Cluster and view for Spherical k-Means by using a consensus approach. |
| dbern | Calculate Bernoulli likelihood... |
| dcat | Calculate categorical likelihood... |
| estLogPxBernGthetaJ | Estimate log document probabilites given specific Bernoulli parameters... |
| estLogPxCatGthetaJ | Estimate log document probabilites given specific Categorical parameters... |
| logsum | Computes the cumulative sum in terms of logarithmic in- and output... |
| mApplyBern | Calculate Bernoulli likelihood row-wise for binary events... |
| mApplyCat | Calculate categorical likelihood row-wise for categorical events... |
| mvcmb | Multi-View Clustering using mixture of categoricals EM. |
| mvcsph | Multi-View Clustering using Spherical k-Means for categorical data. |
| oFMixBinEM | objective function for mixture of binomials EM:... |
| oFSkm | Objective Function (sum of cosines)... |
| rowWUL | Unit length of all vectors row-wise... |
| toyView1 | Toy View 1... |
| toyView2 | Toy View 2... |
| toyViews | Toy Views... |
| UL | Unit length for vector... |
| vectorLength | Euclidean length of vector... |
| viewsClasses | Counts unique values in both views... |