> ## Documentation Index
> Fetch the complete documentation index at: https://docs.fincept.in/llms.txt
> Use this file to discover all available pages before exploring further.

# DBSCAN Clustering

> Density-based clustering that finds arbitrarily shaped clusters and identifies outliers. Doesn't require pre-specifying cluster count. Ideal for anomaly detection and finding natural groupings in data. [Tier: ENTERPRISE, Credits: 10]



## OpenAPI

````yaml api-specs/ml.json post /quantlib/ml/clustering/dbscan
openapi: 3.1.0
info:
  title: FinceptQuantLib API - ML
  description: >-
    Machine Learning and Credit Risk module endpoints for FinceptQuantLib API.
    Pro Tier access required (5 credits per request). Covers credit scoring,
    model validation, regression models, clustering, anomaly detection, feature
    engineering, and preprocessing.
  version: 3.0.0
  contact:
    name: Fincept API Support
    url: https://fincept.in
servers:
  - url: https://api.fincept.in
    description: Fincept API Production Server
security:
  - APIKeyHeader: []
tags:
  - name: quantlib-ml
    description: Machine Learning and Credit Risk Analytics
    x-displayName: ML
paths:
  /quantlib/ml/clustering/dbscan:
    post:
      tags:
        - quantlib-ml
      summary: DBSCAN Clustering
      description: >-
        Density-based clustering that finds arbitrarily shaped clusters and
        identifies outliers. Doesn't require pre-specifying cluster count. Ideal
        for anomaly detection and finding natural groupings in data. [Tier:
        ENTERPRISE, Credits: 10]
      operationId: dbscan_cluster
      requestBody:
        required: true
        content:
          application/json:
            schema:
              type: object
              required:
                - X
              properties:
                X:
                  type: array
                  description: Feature matrix
                  items:
                    type: array
                    items:
                      type: number
                  example:
                    - - 1.2
                      - 0.5
                    - - 1.3
                      - 0.6
                    - - 1.1
                      - 0.5
                    - - 5.1
                      - 4.8
                    - - 10
                      - 10
                eps:
                  type: number
                  description: Maximum distance between samples in a cluster
                  default: 0.5
                  example: 0.3
                min_samples:
                  type: integer
                  description: Minimum samples to form a dense region
                  default: 5
                  example: 3
      responses:
        '200':
          description: DBSCAN clustering results
          content:
            application/json:
              schema:
                type: object
                properties:
                  success:
                    type: boolean
                    example: true
                  data:
                    type: object
                    properties:
                      labels:
                        type: array
                        items:
                          type: integer
                        description: Cluster labels (-1 for outliers)
                        example:
                          - 0
                          - 0
                          - 0
                          - 1
                          - -1
        '401':
          $ref: '#/components/responses/UnauthorizedError'
        '402':
          $ref: '#/components/responses/InsufficientCreditsError'
        '422':
          $ref: '#/components/responses/ValidationError'
components:
  responses:
    UnauthorizedError:
      description: Authentication information is missing or invalid
      content:
        application/json:
          schema:
            type: object
            properties:
              detail:
                type: string
                example: Invalid API key
    InsufficientCreditsError:
      description: Insufficient credits for this operation
      content:
        application/json:
          schema:
            type: object
            properties:
              detail:
                type: string
                example: Insufficient credits. This endpoint requires 5 credits.
    ValidationError:
      description: Request validation error
      content:
        application/json:
          schema:
            type: object
            properties:
              detail:
                type: array
                items:
                  type: object
                  properties:
                    loc:
                      type: array
                      items:
                        type: string
                    msg:
                      type: string
                    type:
                      type: string
  securitySchemes:
    APIKeyHeader:
      type: apiKey
      in: header
      name: X-API-Key
      description: >-
        API key for authentication. Get your key at
        https://api.fincept.in/auth/register

````