# A Spatial Fuzzy Co-Location Pattern Mining Method Based on Interval Type-2 Fuzzy Sets
## 4 Methods
### Extending Traditional Algorithms to Discover Prevalent FCPs
#### 4.2.2 An Extended Joinless Algorithm for Mining Prevalent FCPs
Conceptualization, [PERSON] and [PERSON]; methodology, [PERSON]; software, [PERSON]; validation, [PERSON]; formal analysis, [PERSON]; investigation, [PERSON]; resources, [PERSON]; data curation, [PERSON]; writing--original draft preparation, [PERSON]; writing--review and editing, [PERSON] and [PERSON]; visualization, [PERSON]; supervision, [PERSON] All authors have read and agreed to the published version of the manuscript. This work is supported by the National Natural Science Foundation of China (61966036, 61662086, 62062066), and the Project of Innovative Research Team of Yunnan Province (2018 HC019). Not applicable. Datasets used to support this study are available at [[https://kns.cnki.net/kcms/detail/detail.aspx?dbcode=CJFD&dbname=CJFDLAST2019&filename=CJXB201905011&unipla](https://kns.cnki.net/kcms/detail/detail.aspx?dbcode=CJFD&dbname=CJFDLAST2019&filename=CJXB201905011&unipla)]([https://kns.cnki.net/kcms/detail/detail.aspx?dbcode=CJFD&dbname=CJFDLAST2019&filename=CJXB201905011&unipla](https://kns.cnki.net/kcms/detail/detail.aspx?dbcode=CJFD&dbname=CJFDLAST2019&filename=CJXB201905011&unipla)) tform=NZKPT&v=2 Dyga92 PvUil.fRThAVsARILvqzifeSIk.IdPyJhfRblobEZZc9 SSMLXdtsP51 wdS3. The authors are very grateful to the reviewers for their valuable suggestion in improving this paper. The authors would like to thank [PERSON], [PERSON] for the insightful comments on the early drafts of the manuscript. The authors declare no conflict of interest. ## References

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