Statistical data preprocessing methods in distance functions to enhance k-means clustering algorithm
Clustering is an unsupervised classification method with major aim of partitioning, where objects in the same cluster are similar, and objects belong to different clusters vary significantly, with respect to their attributes. The K-Means algorithm is the commonest and fast technique in partitiona...
محفوظ في:
المؤلف الرئيسي: | Dalatu, Paul Inuwa |
---|---|
التنسيق: | أطروحة |
اللغة: | English |
منشور في: |
2018
|
الموضوعات: | |
الوصول للمادة أونلاين: | http://psasir.upm.edu.my/id/eprint/68681/1/FS%202018%2026%20-%20IR.pdf |
الوسوم: |
إضافة وسم
لا توجد وسوم, كن أول من يضع وسما على هذه التسجيلة!
|
مواد مشابهة
-
Topological mapping and qualitative localization based on K-adjacent union clustering algorithm
بواسطة: Karasfi, Babak
منشور في: (2012) -
Clustering ensemble learning method based on incremental genetic algorithms
بواسطة: Ghaemi, Reza
منشور في: (2012) -
Algorithm Development of Bidirectional Agglomerative Hierarchical Clustering Using AVL Tree with Visualization
بواسطة: Hussain Mohammad Yousef Abu Dalbouh -
Fuzzy clustering method and evaluation based on multi criteria decision making technique
بواسطة: Sameer, Fadhaa Othman
منشور في: (2018) -
Statistical issues in oligonucleotide microarray preprocessing /
بواسطة: Oh, MyungShin
منشور في: (2004)