BigQuery supports clustering for both partitioned and non-partitioned tables.

Reference: [https://cloud.google.com/bigquery/docs/clustered-tables](https://cloud.google.com/bigquery/docs/clustered-tables)
airflow/providers/google/cloud/operators/bigquery.py
src_fmt_configs: Optional[dict] = None,
        labels: Optional[Dict] = None,
        encryption_configuration: Optional[Dict] = None,
        location: Optional[str] = None,
        impersonation_chain: Optional[Union[str, Sequence[str]]] = None,
        **kwargs,
    ) -> None:
        super().__init__(**kwargs)
        
        self.bucket = bucket
        self.source_objects = source_objects
        self.schema_object = schema_object
        
        kwargs_passed = any(
            [
                destination_project_dataset_table,
                schema_fields,
                source_format,
                compression,
                skip_leading_rows,
                field_delimiter,
                max_bad_records,
                quote_character,
                allow_quoted_newlines,
                allow_jagged_rows,
                src_fmt_configs,
                labels,
                encryption_configuration,
            ]
        )