Tessero\Hierarchy

apply(string $name, mixed ...$args): mixed

Call a function by its SciPy/NumPy name: Hierarchy::apply('log_ndtr', $x).

average(mixed $y): mixed

Average (UPGMA) linkage (scipy.cluster.hierarchy.average).

centroid(mixed $y): mixed

Centroid (UPGMC) linkage (scipy.cluster.hierarchy.centroid).

complete(mixed $y): mixed

Complete/farthest-point linkage (scipy.cluster.hierarchy.complete).

cophenet(mixed $Z): mixed

Condensed cophenetic distances of a linkage (scipy.cluster.hierarchy.cophenet).

correspond(mixed $Z, mixed $Y): mixed

Whether a linkage Z and condensed distances Y have matching numbers of observations (scipy.cluster.hierarchy.correspond).

cutTree(mixed $Z, mixed $nClusters = null, mixed $height = null): mixed

Group membership at each requested cut of the dendrogram (scipy.cluster.hierarchy.cut_tree).

fcluster(mixed $Z, mixed $t, mixed $criterion = 'inconsistent', mixed $depth = 2, mixed $R = null, mixed $monocrit = null): mixed

Flat clusters from a linkage matrix (scipy.cluster.hierarchy.fcluster).

fclusterdata(mixed $X, mixed $t, mixed $criterion = 'inconsistent', mixed $metric = 'euclidean', mixed $depth = 2, mixed $method = 'single'): mixed

Flat clusters directly from observations (scipy.cluster.hierarchy.fclusterdata).

fromMlabLinkage(mixed $Z): mixed

Convert a MATLAB-form linkage matrix to SciPy form (scipy.cluster.hierarchy.from_mlab_linkage).

inconsistent(mixed $Z, mixed $d = 2): mixed

Inconsistency matrix of a linkage (scipy.cluster.hierarchy.inconsistent).

isIsomorphic(mixed $T1, mixed $T2): mixed

Whether two flat-cluster labellings are isomorphic (scipy.cluster.hierarchy.is_isomorphic).

isMonotonic(mixed $Z): mixed

Whether the linkage is monotonic -- non-decreasing merge heights (scipy.cluster.hierarchy.is_monotonic).

isValidIm(mixed $R): mixed

Whether R is a valid inconsistency matrix (scipy.cluster.hierarchy.is_valid_im).

isValidLinkage(mixed $Z): mixed

Whether Z is a valid linkage matrix (scipy.cluster.hierarchy.is_valid_linkage).

leaders(mixed $Z, mixed $T): mixed

Root (leader) nodes of the flat clusters in T (scipy.cluster.hierarchy.leaders).

leavesList(mixed $Z): mixed

Leaf ids in left-first pre-order dendrogram order (scipy.cluster.hierarchy.leaves_list).

linkage(mixed $y, mixed $method = 'single'): mixed

Agglomerative hierarchical clustering linkage matrix (scipy.cluster.hierarchy.linkage).

maxRstat(mixed $Z, mixed $R, mixed $i): mixed

Maximum of inconsistency-matrix statistic i below each non-singleton cluster (scipy.cluster.hierarchy.maxRstat).

maxdists(mixed $Z): mixed

Maximum merge distance below each non-singleton cluster (scipy.cluster.hierarchy.maxdists).

maxinconsts(mixed $Z, mixed $R): mixed

Maximum inconsistency coefficient below each non-singleton cluster (scipy.cluster.hierarchy.maxinconsts).

median(mixed $y): mixed

Median (WPGMC) linkage (scipy.cluster.hierarchy.median).

numObsLinkage(mixed $Z): mixed

Number of original observations in a linkage matrix (scipy.cluster.hierarchy.num_obs_linkage).

optimalLeafOrdering(mixed $Z, mixed $y, mixed $metric = 'euclidean'): mixed

Reorder a linkage to minimise distances between adjacent leaves (scipy.cluster.hierarchy.optimal_leaf_ordering).

single(mixed $y): mixed

Single/nearest-point linkage (scipy.cluster.hierarchy.single).

toMlabLinkage(mixed $Z): mixed

Convert a linkage matrix to MATLAB form (scipy.cluster.hierarchy.to_mlab_linkage).

ward(mixed $y): mixed

Ward variance-minimizing linkage (scipy.cluster.hierarchy.ward).

weighted(mixed $y): mixed

Weighted (WPGMA) linkage (scipy.cluster.hierarchy.weighted).