Akisato Kimura akisatok

## matrix_sketch.py
# (C) Mathieu Blondel, November 2013
# License: BSD 3 clause

import numpy as np
from scipy.linalg import svd


def frequent_directions(A, ell, verbose=False):
    """
    Return the sketch of matrix A.

## kernel_kmeans.py
"""Kernel K-means"""

# Author: Mathieu Blondel <mathieu@mblondel.org>
# License: BSD 3 clause

import numpy as np

from sklearn.base import BaseEstimator, ClusterMixin
from sklearn.metrics.pairwise import pairwise_kernels
from sklearn.utils import check_random_state
	# (C) Mathieu Blondel, November 2013
	# License: BSD 3 clause

	import numpy as np
	from scipy.linalg import svd


	def frequent_directions(A, ell, verbose=False):
	"""
	Return the sketch of matrix A.
	"""Kernel K-means"""

	# Author: Mathieu Blondel <mathieu@mblondel.org>
	# License: BSD 3 clause

	import numpy as np

	from sklearn.base import BaseEstimator, ClusterMixin
	from sklearn.metrics.pairwise import pairwise_kernels
	from sklearn.utils import check_random_state