6533b81ffe1ef96bd12783f3

RESEARCH PRODUCT

Data Mining Algorithms for Knowledge Extraction

Stancu Ana-maria RamonaCristescu Marian PompiliuMiglena Stoyanova

subject

Euclidean distanceMahalanobis distanceMatrix (mathematics)ComputingMethodologies_PATTERNRECOGNITIONKnowledge extractionComputer sciencebusiness.industryValue (computer science)Pattern recognitionArtificial intelligenceCluster analysisbusinessData mining algorithm

description

In this paper, we study the methods, techniques, and algorithms used in data mining, and from the studied algorithms, we emphasized the clustering algorithms, more precisely on the K-means algorithm. This algorithm was first studied using the Euclidean distance, then modifying the distance between the clusters using the distances Mahalanobis and Canberra. After implementing the algorithms in C/C++, we compared the clustering of the three algorithms, after which we modified them and studied the distance between the clusters.

yearjournalcountryeditionlanguage
2020-01-01
https://doi.org/10.1007/978-3-030-43449-6_20