vector<common::sfv_t> kmeans_clustering_method::get_k_center() const {
if (kcenters_.empty()) {
throw JUBATUS_EXCEPTION(not_performed());
}
return kcenters_;
}
int64_t kmeans_clustering_method::get_nearest_center_index(
const common::sfv_t& point) const {
if (kcenters_.empty()) {
throw JUBATUS_EXCEPTION(not_performed());
}
return min_dist(point, kcenters_).first;
}
std::vector<wplist> dbscan_clustering_method::get_clusters(
const wplist& points) const {
std::vector<wplist> clusters = dbscan_.get_clusters();
if (clusters.empty()) {
throw JUBATUS_EXCEPTION(not_performed());
}
return clusters;
}
vector<wplist> kmeans_clustering_method::get_clusters(
const wplist& points) const {
if (kcenters_.empty()) {
throw JUBATUS_EXCEPTION(not_performed());
}
vector<wplist> ret(k_);
for (wplist::const_iterator it = points.begin(); it != points.end(); ++it) {
pair<int64_t, double> m = min_dist(it->data, kcenters_);
ret[m.first].push_back(*it);
}
return ret;
}
