You are an expert in writing code in many different languages. Your goal is to perform code completion for the following code, keeping in mind the rest of the code and the file meta data.
    Metadata details:
    filename: modes.m
    path of file: ./repos/Image-Harmonization-Dataset-iHarmony4/Lalonde and Efros/utils/3rd_party/@kde
    
    the code of the file until where you have to start completion: function [modeList,attr] = modes(dens,start)
%
% [modes,assoc] = modes(kde [,init]) -- Find modes of a KDE via fixed point iter. scheme
%   options:
%    init -- initial locations for search (default is kde's kernel centers)
%   returns:
%    modes -- list of estimated mode locations

    
function [modeList,attr] = modes(dens,start)
%
% [modes,assoc] = modes(kde [,init]) -- Find modes of a KDE via fixed point iter. scheme
%   options:
%    init -- initial locations for search (default is kde's kernel centers)
%   returns:
%    modes -- list of estimated mode locations
%    assoc -- which mode each initial location was attracted to
%
% NOTE: this process is not guaranteed to find all modes; while it stands an
%   excellent chance for Gaussian mixtures, KDEs consisting of Ep. or Lap. kernels
%   have discontinous derivatives, leading to quite "jagged" distributions, and
%   may have many more modes than kernel centers. See M. Carreira-Perpinan's webpage,
%   http://www.cs.toronto.edu/~miguel/research/GMmodes.html, for an excellent
%   discussion.
%

% Copyright (C) 2003 Alexander Ihler; distributable under GPL -- see README.txt

if (nargin==1) start = getPoints(dens); end