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DIFF Subgroup
G06F 18/23

Clustering techniques

Introduced: January 2023

Full Title

Pattern recognition > Analysing > Clustering techniques

Additional Content IPC

Glossary

AFC Adaptive Fuzzy Clustering AO Alternative Optimisation CCM Compatible Cluster Merging DBSCAN Density-Based Spatial Clustering of Applications with Noise, a non-parametric clustering algorithm which does not require specifying the number of clusters in advance. FCSS Fuzzy C-Spherical Shells FCV Fuzzy C-Varieties FHV Fuzzy Hyper Volume KNN k-Nearest Neighbour; a classification algorithm which, for a given data sample, chooses the k most similar samples from a training set, retrieves their respective class labels, and assigns a class label to the data sample by majority decision; variant: 1NN, which is KNN for k=1. LVQ Learning Vector Quantisation

Application references

Information retrieval of still images; Clustering; Classification Information retrieval of video data; Clustering; Classification Image or video recognition or understanding using clustering, e.g. of similar faces in social networks

IPC and CPC are identically structured here. All 2 subcodes exist in both systems.

IPC defines codes here since 2023.

Child Classifications

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  • G06F 18/231 Hierarchical techniques, i.e. dividing or merging pattern sets so as to obtain a dendrogram since 2023 IPC+CPC Available in IPC and CPC

Top Applicants

Top Applicants (IPC)

Class G06,2013–2023, worldwide · Source: EPO PATSTAT

  1. SAMSUNG ELECTRONICS COMPANY KR 66,669
  2. IBM (INTERNATIONAL BUSINESS MACHINES CORPORATION) US 62,313
  3. MICROSOFT TECHNOLOGY LICENSING US 41,918
  4. GOOGLE US 32,969
  5. SGCC(STATE GRID CORPORATION OF CHINA) 30,822
  6. INTEL CORPORATION US 30,010
  7. TENCENT TECHNOLOGY (SHENZHEN) COMPANY 28,235
  8. HUAWEI TECHNOLOGIES COMPANY CN 26,079
  9. APPLE US 21,891
  10. HUAWEI TECHNOLOGIES COMPANY 20,505

Top Applicants (CPC)

Class G06,2013–2023, worldwide · Source: EPO PATSTAT

  1. SAMSUNG ELECTRONICS COMPANY KR 76,952
  2. IBM (INTERNATIONAL BUSINESS MACHINES CORPORATION) US 62,841
  3. MICROSOFT TECHNOLOGY LICENSING US 44,778
  4. GOOGLE US 35,735
  5. INTEL CORPORATION US 32,087
  6. HUAWEI TECHNOLOGIES COMPANY CN 30,572
  7. TENCENT TECHNOLOGY (SHENZHEN) COMPANY 25,023
  8. APPLE US 23,482
  9. SGCC(STATE GRID CORPORATION OF CHINA) 22,548
  10. HUAWEI TECHNOLOGIES COMPANY 20,917