Data Clustering
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...
| Other Authors: | |
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| Format: | eBook |
| Language: | Inglés |
| Published: |
London :
IntechOpen
2022.
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| Subjects: | |
| See on Biblioteca Universitat Ramon Llull: | https://discovery.url.edu/permalink/34CSUC_URL/1im36ta/alma991009746463406719 |
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.
