ghsc267762131214061
所属分类：人工智能/神经网络/深度学习
开发工具：Python
文件大小：211KB
下载次数：4
上传日期：2016-06-14 22:24:52
上 传 者：
wmgt8828092
说明： gaussian-mixture-models: This tool clusters the input image into n number of colored sections by synthesizing a Gaussian Mixture Model (GMM) using Expectation Maximization (EM).
文件列表:
GMM_KmeansInit.py (1057, 2015-07-17)
GMM_RandomInit.py (1270, 2015-07-17)
gmm_methods.py (4307, 2015-07-17)
gmm_methods.pyc (3740, 2015-07-17)
kmeans_methods.py (1788, 2015-07-17)
kmeans_methods.pyc (2206, 2015-07-17)
party_spock.png (208226, 2015-07-17)
{\rtf1\ansi\ansicpg1252\cocoartf1343\cocoasubrtf160
{\fonttbl\f0\fswiss\fcharset0 Helvetica;}
{\colortbl;\red255\green255\blue255;}
\margl1440\margr1440\vieww17040\viewh7840\viewkind0
\pard\tx720\tx1440\tx2160\tx2880\tx3600\tx4320\tx5040\tx5760\tx***80\tx7200\tx7920\tx8***0\pardirnatural
\f0\fs24 \cf0 Please make sure to have python2.7+ installed on your system\
\
(1) Dependencies required:\
\'97>PIL \
\'97>numpy\
\
(2) Instructions to run the code:\
The solutions to question (1) and (2) have been implemented in this project.\
(a) The executable for question (1) - EM Algorithm using Gaussian Mixture Models - is contained in GMM_RandomInit.py. \
Its dependent methods have been defined in gmm_methods.py. \
(b) The executable for question (2) - EM Algorithm using Gaussian Mixture Models with K-Means initialization - is contained in GMM_KMeansInit.py. \
Its dependent methods have been defined in kmeans_methods.py\
\
}
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