Man pages for clusterv
Assessment of Cluster Stability by Randomized Maps
| Achlioptas.hclustering | Multiple Hierarchical clusterings using Achlioptas random... |
| Achlioptas.random.projection | Achlioptas random projection |
| AC.index | Assignment Confidence (AC) index |
| Cluster.validity | Validity indices computation |
| Do.similarity.matrix | Functions to compute a pairwise similarity matrix. |
| Generate.clusters | Multiple clusterings generation from the corresponding trees |
| generate.sample0 | Sample0 generator of synthetic data |
| generate.sample1 | Sample1 generator of synthetic data |
| generate.sample2 | Sample2 generator of synthetic data |
| generate.sample3 | Sample3 generator of synthetic data |
| generate.sample4 | Sample4 generator of synthetic data |
| generate.sample5 | Sample5 generator of synthetic data |
| generate.sample6 | Sample6 generator: multivariate normally distributed data... |
| generate.sample7 | Sample7 generator: multivariate normally distributed data... |
| generate.sample.h1 | Two-levels hierarchical cluster generator. |
| generate.sample.h2 | Three-level hierarchical cluster generator. |
| generate.sample.h3 | Two-levels hierarchical cluster generator. |
| generate.uniform | Uniform bidimensional data generator |
| generate.uniform.random | Uniform bidimensional random data generator. |
| JL.predict.dim | Dimension of the subspace or the distortion predicted... |
| Max.Expansion | Distortion measures: Max., min, and average expansion and... |
| Multiple.Random.fuzzy.kmeans | Multiple Random fuzzy-k-means clustering |
| Multiple.Random.hclustering | Multiple Random hierarchical clustering |
| Multiple.Random.kmeans | Multiple Random k-means clustering |
| Multiple.Random.PAM | Multiple Random PAM clustering |
| Norm.hclustering | Multiple Hierarchical clusterings using Normal random... |
| norm.random.projection | Normal random projections |
| Plus.Minus.One.random.projection | Plus-Minus-One (PMO) random projections |
| PMO.hclustering | Multiple Hierarchical clusterings using Plus Minus One (PMO)... |
| rand.norm | Random generation of normal distributed data |
| random.component.selection | Function to randomly select the indices of the variables... |
| Random.fuzzy.kmeans.validity | Fuzzy-k-means clustering and validity indices computation... |
| Random.hclustering.validity | Random hierarchical clustering and validity index computation... |
| Random.kmeans.validity | k-means clustering and validity indices computation using... |
| Random.PAM.validity | PAM clustering and validity indices computation using random... |
| random.subspace | Random Subspace (RS) projections |
| RS.hclustering | Multiple Hierarchical clusterings using RS random projections |
| Transform.vector.to.list | Vector to list transformation of cluster representation |
| Validity.indices | Function to compute the validity index of each cluster. |
