Unsupervised Multi-Scale Fuzzy Clustering Algorithm Application in the Evaluation of Soil Fertility

Li Ying Cao; He Long Yu; Li Ma; Gui Fen Chen

doi:10.4028/www.scientific.net/AMR.756-759.3241

Paper Titles

Simulation and Implementation of an Improved Inscribed Chord Interpolation Algorithm
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Variables Screening Method Based on the Algorithm of Combining Fruit Fly Optimization Algorithm and RBF Neural Network
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Research and Improvement on K-Means Clustering Algorithm
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Audio Retrieval Based on Chinese Keyword Search in Relational Databases
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Unsupervised Multi-Scale Fuzzy Clustering Algorithm Application in the Evaluation of Soil Fertility
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Denoising Analysis on UWB Communication in Mine Tunnels
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Application of XML for Telemetry Data Management
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Parallel Artificial Bee Colony Algorithm for the Traveling Salesman Problem
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HomeAdvanced Materials ResearchAdvanced Materials Research Vols. 756-759Unsupervised Multi-Scale Fuzzy Clustering...

Unsupervised Multi-Scale Fuzzy Clustering Algorithm Application in the Evaluation of Soil Fertility

Abstract:

This paper adopts statistical learning theory and optimization theory to the analysis of the algorithm theory, probe into its theoretical foundation. The existing theoretical analysis on the basis of the establishment of clustering model algorithm design, code realization and finally a lot of different data set of test, choose soil data as a test database, will be in the database on a large number of data mining experiment to verify the performance of the proposed algorithm. The test result feedback back will further deepen the theoretical research or correct theory already mistakes, new theory and will continue to guide experiments, both mutual promoting common development.

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Periodical:

Advanced Materials Research (Volumes 756-759)

Pages:

3241-3245

DOI:

https://doi.org/10.4028/www.scientific.net/AMR.756-759.3241

Citation:

Cite this paper

Online since:

September 2013

Authors:

Li Ying Cao, He Long Yu, Li Ma, Gui Fen Chen

Keywords:

Clustering Algorithm, Data Mining (DM), Multi-Scale, Unsupervised

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