| 개발자: | Marc De Block (1) | ||
| 가격: | 무료 | ||
| 순위: | 0 | ||
| 리뷰: | 0 리뷰 작성 | ||
| 목록: | 0 + 1 | ||
| 포인트: | 6 + 0 ¡ | ||
| Mac App Store | |||
기술
In addition to the drawing and analysis tools, an Artificial Intelligence module covers AI algorithms that use graphs in one form or another. The first supervised learning AI algorithms covered are: "Decision Trees". The decision tree algorithms can handle both categorical and numerical data and can be used for both classification and regression tasks.
Features:
- Draw a network as a graph, as a traditional tree or as radial tree
- Import network data as a list of edges, as an adjacency list, or as an adjacency matrix
- Import x,y-coordinates of the vertices (f.ex. vertices that represent locations on a map can be set to their latitude and longitude coordinates)
- Categories can be assigned to vertices
- Vertices can be organized in groups (improves graph layout, visualization and analysis)
- Shortest and longest path
- Maximum flow through the edges (and vertices)
- Global and minimum s-t cut
- Minimum spanning tree
- Centralities: degree, betweenness, closeness
- Clustering methods based on: nearest neighborgh, hitting time, random walk
- Ability to perform sequential clustering to reduce the number of clusters and gain deeper insight into network structure
- Create random graphs
- Perform different types of random walks
- Identifying the maximum clique and all the cliques (minimum size can be selected)
- Decision models: based on single or ensemble of decision trees
스크린샷
새로운 기능
- 버전: 3.4.2
- 업데이트:
- Bug fixes in the DECISION MODEL module:
- Pruning has been made consistent in models built with a single tree or an ensemble of decision trees.
- The number format of the imported data is correctly converted to the number format used in DiscretePath. In the previous versions, the numeric values of the imported data for validation and analysis were not converted to DiscretePath's number format (no thousand separators and a period as the decimal separator).
가격
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