# Unsupervised Fuzzy C-Means Segmentation with Adaptive Cluster Count Derived from Laplacian of Gaussian Edge Maps

**Type:** Papers  
**Canonical URL:** https://scholariq.org/papers/unsupervised-fuzzy-c-means-segmentation-with-adaptive-cluster-count-derived-from/

## Facts

| Field | Value |
| --- | --- |
| Author Names | Rajendra Patil,Deepak Yashwantrao Bhadane,Abhijit Dandavate,Dr Priti Shende,Govind Mohanlal Poddar,S. R. Patil |
| Citations | 0 |
| DOI | 10.14419/ac56hj76 |
| Fields | Computer Science |
| Open Access | true |
| OA Status | diamond |
| OA URL | https://www.sciencepubco.com/index.php/IJBAS/article/download/34365/18488 |
| OpenAlex ID | https://openalex.org/W4412556353 |
| Type | article |
| Year | 2025 |

## Paper authors

- [Deepak Yashwantrao Bhadane](https://scholariq.org/researchers/deepak-yashwantrao-bhadane/)
- [Govind Mohanlal Poddar](https://scholariq.org/researchers/govind-mohanlal-poddar/)

## Paper journal

- [International Journal of Basic and Applied Sciences](https://scholariq.org/journals/international-journal-of-basic-and-applied-sciences/)

## Paper primary topic

- [Face and Expression Recognition](https://scholariq.org/topics/face-and-expression-recognition/)

## Paper topics

- [Face and Expression Recognition](https://scholariq.org/topics/face-and-expression-recognition/)

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Source: ScholarIQ — public research metadata, principally OpenAlex. See https://scholariq.org/sources/ for provenance and https://scholariq.org/methodology/ for what these figures mean.
