Data Clustering / / Niansheng Tang. editor.
In view of the considerable applications of data clustering techniques in various fields, such as engineering, artificial intelligence, machine learning, clinical medicine, biology, ecology, disease diagnosis, and business marketing, many data clustering algorithms and methods have been developed to...
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| Place / Publishing House: | London : : IntechOpen,, 2022. |
| Year of Publication: | 2022 |
| Language: | English |
| Physical Description: | 1 online resource (126 pages) |
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Table of Contents:
- 1. Introductory Chapter: Development of Data Clustering
- 2. Clustering Algorithms: An Exploratory Review
- 3. Clustering by Similarity of Brazilian Legal Documents Using Natural Language Processing Approaches
- Assessing Heterogeneity of Two-Part Model via Bayesian Model-Based Clustering with Its Application to Cocaine Use Data
- 5. Application of Jump Diffusion Models in Insurance Claim Estimation
- 6. Fuzzy Perceptron Learning for Non-Linearly Separable Patterns
- . Semantic Map: Bringing Together Groups and Discourses.