evoc.layers — org.replikativ/evoc-rstr 0.1.4

Multi-resolution cluster-layer selection — the defining EVoC feature (clustering.build_cluster_layers + clustering_utilities.py). Over a condensed tree: min_cluster_size barcode -> total persistence over size thresholds -> local-maxima peaks -> diverse-peak selection (Jaccard) -> per-peak cluster layers. fit picks labels_ = argmax(persistence).

->find-peaks!_m_doubles_long_ints_Impl clj

(->find-peaks!_m_doubles_long_ints_Impl)

Positional factory function for class evoc.layers.find-peaks!_m_doubles_long_ints_Impl.

->min-cluster-size-barcode!_m_ints_ints_doubles_ints_long_long_long_doubles_doubles_ints_doubles_Impl clj

(->min-cluster-size-barcode!_m_ints_ints_doubles_ints_long_long_long_doubles_doubles_ints_doubles_Impl)

Positional factory function for class evoc.layers.min-cluster-size-barcode!_m_ints_ints_doubles_ints_long_long_long_doubles_doubles_ints_doubles_Impl.

->total-persistence!_m_doubles_doubles_doubles_long_doubles_long_doubles_Impl clj

(->total-persistence!_m_doubles_doubles_doubles_long_doubles_long_doubles_Impl)

Positional factory function for class evoc.layers.total-persistence!_m_doubles_doubles_doubles_long_doubles_long_doubles_Impl.

build-cluster-layers clj

(build-cluster-layers
  emb
  n
  dim
  {:keys [min-samples base-min-cluster-size min-similarity max-layers]
   :or
     {min-samples 5 base-min-cluster-size 5 min-similarity 0.2 max-layers 10}})

cluster-layers-from-condensed clj

(cluster-layers-from-condensed condensed
                               n-samples
                               base-min-cluster-size
                               min-similarity
                               max-layers)

build_cluster_layers given a condensed tree (post-spine). Returns {:layers [int[]] :strengths [double[]] :persistence [double] + diagnostics}.

compute-total-persistence clj

(compute-total-persistence {:keys [births deaths lambda-deaths]})

Returns {:sizes (unique births, ascending) :total-persistence}.

extract-clusters-by-id clj

(extract-clusters-by-id condensed selected-ids n-samples)

find-peaks clj

(find-peaks x)

find-peaks! clj

(find-peaks! arg0 arg1 arg2)

find-peaks!_m_doubles_long_ints clj

(find-peaks!_m_doubles_long_ints & args__68050)

find-peaks!_m_doubles_long_ints-impl clj

min-cluster-size-barcode clj

(min-cluster-size-barcode {:keys [parent child lambda size]} n-points min-size)

Returns {:births :deaths :parents :lambda-deaths} (size n_nodes).

min-cluster-size-barcode! clj

(min-cluster-size-barcode! arg0
                           arg1
                           arg2
                           arg3
                           arg4
                           arg5
                           arg6
                           arg7
                           arg8
                           arg9
                           arg10)

min-cluster-size-barcode!_m_ints_ints_doubles_ints_long_long_long_doubles_doubles_ints_doubles clj

(min-cluster-size-barcode!_m_ints_ints_doubles_ints_long_long_long_doubles_doubles_ints_doubles
  &
  args__67940)

min-cluster-size-barcode!_m_ints_ints_doubles_ints_long_long_long_doubles_doubles_ints_doubles-impl clj

select-diverse-peaks clj

(select-diverse-peaks peaks
                      total-persistence
                      sizes
                      births
                      deaths
                      min-sim
                      max-layers)

total-persistence! clj

(total-persistence! arg0 arg1 arg2 arg3 arg4 arg5 arg6)

total-persistence!_m_doubles_doubles_doubles_long_doubles_long_doubles clj

(total-persistence!_m_doubles_doubles_doubles_long_doubles_long_doubles
  &
  args__67995)

total-persistence!_m_doubles_doubles_doubles_long_doubles_long_doubles-impl clj