Model Based Clustering Algorithms with Applications
<p> In machine learning predictive area, unsupervised learning will be applied when the labels of the data are unavailable, laborious to obtain or with limited proportion. Based on the special properties of data, we can build models by understanding the properties and making some reasonable as...
Main Author: | Wei, Wutao |
---|---|
Language: | EN |
Published: |
Purdue University
2018
|
Subjects: | |
Online Access: | http://pqdtopen.proquest.com/#viewpdf?dispub=10830711 |
Similar Items
- An Effective and Efficient Approach for Clusterability Evaluation
-
Stochastic approximation algorithms for statistical estimation
by: Li, Shaolin, 1963-
Published: (1996) -
A class of greedy algorithms for solving the travelling salesman problem /
by: Almulla, Mohammed Ali
Published: (1990) -
Application of Graphical Models in Protein-Protein Interactions and Dynamics
by: Vajdi Hoojghan, Amir
Published: (2019) -
Algorithms for Reconstruction of Gene Regulatory Networks from High-Throughput Gene Expression Data
by: Deng, Wenping
Published: (2019)