class_docstr: Salience map clustering.
class_docstr_tok: ["Salience","map","clustering","."]
code: def meta_spec(self) -> types.Spec:
      return {
          CLUSTER_ID_KEY: types.CategoryLabel(),
          REPRESENTATION_KEY: types.Embeddings(),
          TOP_TOKEN_KEY: types.TopTokens(),
      }
  
file_path: lit/lit_nlp/components/salience_clustering.py
imports: from collections.abc import Sequence
  from typing import Optional
  from lit_nlp.api import components
  from lit_nlp.api import dataset
  from lit_nlp.api import model
  from lit_nlp.api import types
  import numpy
  from sklearn import cluster
label_desc: Use image node_id 8 for calling the SalienceClustering obj's underlying member method code with example usage: obj.meta_spec() and returns: dict