Runxin Li lilrex

## speaker_segmentation.py
import numpy as np
from sklearn import mixture
from sklearn.cluster import KMeans
from sklearn.externals import joblib

init_cluster = 10 # initial number of clusters in KMeans
d = 13            # feature dimension
n_components = 16 # number of Gaussian mixtures in GMM
scale = 200       # number of frames per second

## SetSolver.java
import java.util.ArrayList;
import java.util.List;
import java.util.Random;

/**
 * A simple class to solve the Set game with arbitrary number of cards, dimensions and feature values.
 * It uses a 2-D array of integers to represent a deck a cards, where d1 represents the card index
 * and d1 represents the feature values for the card dimensions, the solver can benefit from this simplification.
 *
 * Another way to look at it is to assume that an ordinal dictionary of feature names and values is given.

## index.html
<!doctype html>
<html lang="en">
<head>
  <meta charset="utf-8">
  <title>Autosuggestion Elasticsearch Demo</title>
  <link rel="stylesheet" href="//code.jquery.com/ui/1.11.4/themes/smoothness/jquery-ui.css">
  <script src="//code.jquery.com/jquery-1.10.2.js"></script>
  <script src="//code.jquery.com/ui/1.11.4/jquery-ui.js"></script>
</head>
	import numpy as np
	from sklearn import mixture
	from sklearn.cluster import KMeans
	from sklearn.externals import joblib

	init_cluster = 10 # initial number of clusters in KMeans
	d = 13 # feature dimension
	n_components = 16 # number of Gaussian mixtures in GMM
	scale = 200 # number of frames per second
	import java.util.ArrayList;
	import java.util.List;
	import java.util.Random;

	/**
	* A simple class to solve the Set game with arbitrary number of cards, dimensions and feature values.
	* It uses a 2-D array of integers to represent a deck a cards, where d1 represents the card index
	* and d1 represents the feature values for the card dimensions, the solver can benefit from this simplification.
	*
	* Another way to look at it is to assume that an ordinal dictionary of feature names and values is given.
	<!doctype html>
	<html lang="en">
	<head>
	<meta charset="utf-8">
	<title>Autosuggestion Elasticsearch Demo</title>
	<link rel="stylesheet" href="//code.jquery.com/ui/1.11.4/themes/smoothness/jquery-ui.css">
	<script src="//code.jquery.com/jquery-1.10.2.js"></script>
	<script src="//code.jquery.com/ui/1.11.4/jquery-ui.js"></script>
	</head>