Standard Deviation Classification

Standard Deviation Classification is a thematic map classification method that partitions attribute values based on their deviation from the mean, using standard deviation intervals as the criterion for defining class boundaries.

9

Publications

522

Citations

35

Authors

19

Institutions

Publications per year

2017–2026

4

Authors

35

  1. EJ
    Enio Júnior Seidel

    Universidade Federal de Santa Maria, Brazil

    1 publications · 26 citations

    1

    h-index

  2. JH
    James H. Kasner

    University of Arizona, United States

    1 publications · 156 citations

    1

    h-index

  3. CG
    Clémence Guillard-Gonçalves

    University of Lisbon, Portugal

    1 publications · 193 citations

    1

    h-index

  4. PK
    Pavan Kumar Kankar

    Indian Institute of Information Technology Design and Manufacturing Jabalpur, India

    1 publications · 52 citations

    1

    h-index

  5. SB
    Samiran Bisai

    Vidyasagar University, India

    1 publications · 12 citations

    1

    h-index

1–5 of 35

Venues

  1. Measurement

    1 publications · 52 citations

    1

    h-index

  2. Procedia Computer Science

    1 publications · 24 citations

    1

    h-index

  3. Ciência Rural

    1 publications · 26 citations

    1

    h-index

  4. PubMed

    Repository · 1 publications · 22 citations

    1

    h-index

  5. IEEE Transactions on Image Processing

    1 publications · 156 citations

    1

    h-index

1–5